Gonzalo L. Linares-Rivas

Gonzalo L. Linares-Rivas Email and Phone Number

AI & Cloud Solutions Leader | LLM & GenAI Vision | Data Analytics & Business Intelligence | Enterprise Architect | Senior Software Engineer | Machine Learning & AI Innovation | Digital Transformation Expert @ 3Cloud
Cupertino, CA, US
Gonzalo L. Linares-Rivas's Location
Cupertino, California, United States, United States
Gonzalo L. Linares-Rivas's Contact Details

Gonzalo L. Linares-Rivas work email

Gonzalo L. Linares-Rivas personal email

About Gonzalo L. Linares-Rivas

A visionary IT and AI leader & Developer, Gonzalo has a proven track record of driving innovation, building cutting-edge AI applications, and transforming business operations through data-driven strategies. As a Senior Software Engineer at DesignMind, Gonzalo leads groundbreaking initiatives in GenAI Vision and LLM (Large Language Models), developing advanced AI tools for marketing analysis, database integration, and GDPR compliance.With a career spanning consulting and 16 years at Intel, Gonzalo has managed IT services for over 7,000 employees, led a team of 350 professionals, and successfully delivered over 200 high-impact projects. His leadership in AI, machine learning, and predictive analytics has not only enhanced system reliability but also driven a 30% revenue increase through data insights.Recognized with over 14 prestigious awards, including Best IT Site Manager "Ever" at Intel, and Innovation Awards for AI-driven platforms, Gonzalo is celebrated for his ability to solve complex technical challenges, foster innovation, and cultivate high-performance teams. His expertise spans across AI, cloud technologies, business intelligence, and data governance, making him a trusted leader in digital transformation.Technical Skills Data Analytics: Business Intelligence (BI), Data Manipulation with pandas, Exploratory Data Analysis, Large Language Models (LLMs), Generative AI, Data Warehousing, Data Mining, Predictive Analytics, Reporting and Dashboards (Cognos, SSRS), OLAP, Tabular Data Models Relational Data Platforms: SQL Server, MySQL, Oracle, PostgreSQL, Azure SQL Database, Big Data (Hadoop, Spark), ETL Systems, Data Lakes, Data Governance Programming Languages: Python, PL/SQL, T-SQL, .NET Platforms & Cloud: Microsoft Azure, Docker, BigIP, Cloud Integration, Azure Data Lake, Azure Data Factory, Azure DevOps (CICD Pipelines), Streamlit AI and Machine Learning: Artificial Intelligence, Deep Learning with PyTorch, Data Privacy, AI Image Recognition, Developing AI Systems with OpenAI API, Hugging Face, Embeddings with OpenAI API, Developing LLM Applications with LangChain, ChatGPT & LLM Prompt Engineering.

Gonzalo L. Linares-Rivas's Current Company Details
3Cloud

3Cloud

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AI & Cloud Solutions Leader | LLM & GenAI Vision | Data Analytics & Business Intelligence | Enterprise Architect | Senior Software Engineer | Machine Learning & AI Innovation | Digital Transformation Expert
Cupertino, CA, US
Website:
3cloudsolutions.com
Employees:
1117
Gonzalo L. Linares-Rivas Work Experience Details
  • 3Cloud
    3Cloud
    Cupertino, Ca, Us
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  • Designmind
    Ai-Senior Software Engineer
    Designmind Jun 2024 - Present
    San Francisco, California, Us
    Senior Software Engineer, AI Team :GenAI Vision and LLM (Large Language Models) Developed AI Marketing Analyst App for image recognition, analysis, and comparison. Built AI Text to SQL App for seamless interaction with company databases. Created AI Private Information (GDPR) App to analyze data structures, identify personal data risks, and provide tools for managing data privacy projects.
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  • Accessai
    Member Board Of Directors
    Accessai Apr 2024 - Present
    Advisory and helped Access AI a Non-Profit Organization to achieve the goals to bring AI awareness & training to groups that doesn’t have the access.
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  • Freelance
    Technology Advisor
    Freelance Jun 2023 - Present
    Advisory for startups and non profit organizations
  • Intel Corporation
    Enterprise Data Platforms Analytics Delivery Leader
    Intel Corporation Apr 2018 - Apr 2023
    Santa Clara, California, Us
    I oversee the delivery of analytics projects within the organization, focusing primarily on Sales and Marketing while also handling Observability, Security, Revenue, and Finance initiatives. I managed a team of up to 16 data analysts and developers, providing them with the necessary resources and guidance to execute tasks effectively. I monitored project progress, identified risks, and implemented corrective actions when needed. My development of Analytical Services for Revenue and Demand led to the creation of the Big Data platform (Enterprise Data Platform), playing a key role in enhancing process performance and enabling data Governance, ensuring data integrity, security, and accessibility. My team also facilitated communication and coordination between cross-functional teams, including data engineers, data scientists, Data centers, engineering groups, and business stakeholders, driving successful project outcomes.As a mentor, I led a high-performance team delivering analytics solutions that provided valuable insights for data-driven decision-making within the organization.• I oversaw a team managing telemetry data for millions of machines from external customers, leveraging big data and IoT capabilities on AWS with the Hadoop data lake and the adaptive SSAS platform.As a leader, I provided engineering capabilities, design, innovation, and technical guidance to multiple teams. My role extended beyond task management to inspiring and guiding team members to excel.Through my leadership, we delivered 34 internal solutions across different business units, benefiting over 4,000 users. I led the change management process to ensure the successful adoption of these solutions, demonstrating our work's tangible impact.• I led COE groups for data governance, big data, and business intelligence and influenced design standards across organizations to align and simplify processes.
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  • Intel Corporation
    Headquarter It Site Leader/Manager (Santa Clara, San Jose, San Francisco)
    Intel Corporation Aug 2018 - Jan 2023
    Santa Clara, California, Us
    As the IT Site Leader, my primary responsibility was ensuring the efficient operation of the IT department. I maintained and updated all computer systems, networks, and software to meet the organization's continuous improvement and efficiency needs. I supervised a team of IT professionals, delegating tasks and providing guidance to ensure the timely completion of projects and the resolution of issues. I collaborated with other department heads to identify technology-related requirements and developed IT policies and procedures to enhance security and streamline operations. I also conducted training sessions to improve staff technical skills and carried out regular performance evaluations, maintaining the smooth functioning of IT infrastructure and supporting the organization's technology needs.• I had the honor of being appointed as the IT Site Lead for Intel headquarters, a role that was previously held exclusively by individuals from other regions. As the first Latin American in this position, I not only contributed to a great working environment in Silicon Valley but also actively volunteered in STEM, social, and school initiatives, showcasing my leadership and commitment to diversity.• In the face of the unprecedented challenges posed by the COVID-19 pandemic, I demonstrated my adaptability and problem-solving skills by expanding my responsibilities to increase work-from-home capabilities. My focus was on promoting health, safety, and a positive remote work experience for the community, a testament to my ability to handle challenging situations and adapt to new circumstances.• I engaged in IT strategic planning and the trust to Represent IT with external engagements with customers and academia.
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  • Intel Corporation
    Process, Innovation, And Technology Leader-Sales And Marketing Data And Analytics
    Intel Corporation Sep 2016 - Nov 2019
    Santa Clara, California, Us
    As a Technical Program Manager, I didn't just lead the charge in driving process improvements, spearheading innovation initiatives, and implementing cutting-edge technology within the organization. I also played a pivotal role in inspiring and guiding my team to success. Together, we collaborated with cross-functional teams to pinpoint areas for enhancement, developing strategies to streamline operations and boost productivity. My approach included conducting thorough research to identify emerging technologies and trends and then implementing these to benefit our company. I facilitated brainstorming sessions and workshops to cultivate a culture of innovation and encouraged team members to devise creative solutions to business challenges. Additionally, I managed multiple project timelines, allocate resources efficiently, and ensured the seamless execution of technology projects. Through effective leadership and communication, I aligned the team's efforts with the company's goals and objectives, fostering continuous improvement and technological advancement.• I led and managed a process and innovation team that enabled the organization to expand into other geographies, overseeing not just 30 agile delivery and data science teams, but also over 200 engineers in the US, Costa Rica, and India. This scale of responsibility speaks to my ability to handle complex and diverse teams.• I spearheaded the Microsoft Analysis Services intelligent cloud implementation, achieving higher availability, reliability, and performance.• I integrated over 100 prediction algorithms into the big data platform, enhancing the accuracy of predictions and enabling more informed decision-making.• I expanded big data APIs to include a wide range of internal and external data sources across 100+ projects (sales & Marketing, Finance, HR, Operations), broadening the scope and impact of our data initiatives.
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  • Intel Corporation
    Senior Big Data Team Manager-Sales And Marketing Information And Analytics
    Intel Corporation Sep 2015 - Sep 2016
    Santa Clara, California, Us
    Sales and Marketing Information and Analytics: 
 As the leader of the Sales and Marketing Insights & Analytics IT team, I spearheaded the development of a high-performance big data team. From its inception, I nurtured and managed the team, scaling it to six agile development teams with over 70 members. Together, we contributed to the Integrated Analytics Hub (IAH) on Cloudera, driving technical leadership and delivery on the Cloudera/Hadoop ecosystem.Introduced data robot to accelerate statistics, data science, and ML solutions. We researched cognitive computing and advanced data solutions with predictive models, statistics, and KPIs to increase business value, revenue, and opportunities. We developed a deep understanding of sales and marketing data and created predictive models that could identify trends, patterns, and opportunities.Our team was responsible for developing and maintaining various data products, including data pipelines(ETL/ELT), data lakes and warehouses, and integration solutions. We worked with other IT teams and business units to understand their data needs and develop solutions that met their requirements.Our work significantly boosted revenue for the organization, providing tangible evidence of the value of our data-driven solutions. Our predictive models empowered the sales and marketing teams to make informed decisions, giving them a competitive edge. We also fostered a strong technical leadership pipeline and delivery organization, driving continuous innovation and improvement in our data solutions.
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  • Intel Corporation
    Senior Development And Engineering Lead-Information Analytics Hub (Iah)
    Intel Corporation Apr 2014 - Sep 2015
    Santa Clara, California, Us
    In the IT Sales & Marketing Analytics department, I led the development of the Information Analytics Hub (IAH) on Cloudera, focusing on a suite of big data solutions (also known as Enterprise Data Platform or Data Lake). My responsibilities encompassed creating, hiring, and managing a team of over 70 members dedicated to enhancing the IAH platform, which featured cloud technologies and a user interface.Our team's focus was on creating solutions that put the user first. We developed four platform solutions, each functioning like a Microsoft Office app. These solutions empowered users to upload, map, clean, and align data, select metadata, and generate personal models using Microsoft PowerPivot or SSAS Tabular models. This user-centric innovation significantly reduced the reliance on IT data architects and simplified user access to and analysis of big data.Additionally, I developed a fifth solution tailored to the retail and marketing industry, addressing the challenge of managing and analyzing vast amounts of images taken at Retail locations Globally. This solution employed deep zoom technologies, pivot viewers, and embedded data, enabling users to browse retail photos through an HTML5 interface. This provided global access to retail pictures, enhancing the user experience and analytical capabilities.
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  • Intel Corporation
    Subject Matter Expert (Sme) In Business Intelligence
    Intel Corporation May 2013 - Apr 2014
    Santa Clara, California, Us
    From concept to reality, I engineered The Collaboration 2.0/War, Room/Visualization Room project, an innovative initiative designed to enhance collaboration, data access, and visualization for the Senior VP of Sales & IT. This ambitious project involved a significant capital investment. It led to creating a physical room equipped with a 200-foot TV as a video wall and a mosaic of laser displays. The interactivity software allowed virtual projects and workspaces to be managed, maintained indefinitely, and updated in real-time.The data layer facilitated analytical capabilities for different sources and domains for high-security clearance across business areas. Visualization tools were also implemented to analyze, report, and access information. This project was hailed as a pioneering example of possibility thinking. The multi-touch functionality, massive display, and connectivity enabled teams to interact to solve business problems simultaneously, enhancing decision-making efficiency and efficacy.Other Projects:I-CARE: I had the privilege of developing a desktop application featuring over 1,000 items for personal growth tips, a project that was greatly appreciated by the leadership group. This work in personal growth and innovation not only earned me recognition as a thought leader but also inspired others to strive for excellence in their own areas of expertise.GLOBAL CONSUMPTION MODEL FROM 3RD PARTY DATA: I initiated this project as a proof of concept (POC) for the Asia-Pacific region. Over the year, it evolved into a production solution for them and quickly expanded worldwide, significantly impacting sales operations, planning, forecast, and supply chain. This project, which we all contributed to, was so successful that the Asia-Pacific-Japan region awarded me a Division Recognition Award. It became the most sought-after solution across all GEOS, a testament to our global impact and success.
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  • Intel Corporation
    Senior Business Intelligence Architect
    Intel Corporation Jan 2013 - May 2013
    Santa Clara, California, Us
    We, as a team, expanded the solution portfolio to nine applications. This involved significant development efforts from each one of us to build, test, and deploy these new applications. The applications were developed to address various business needs, such as tracking deals, consumption, long-range planning, sales pipeline, samples, CPOC, revenue close, and more.The WRAP application, for instance, was developed to streamline and automate the deal approval process, making it faster and more efficient. The Consumption application, created for the Asia-Pacific-Japan region, was used to track third-party data and gain insights into global consumption trends, allowing for better sales operations, planning, forecasting, and supply chain management.The Long-Range Planning (LRP) and Product Long-Range Planning (PLRP) applications were developed to provide insights into long-term planning, product strategies, and resource allocation. The Sales Pipeline application helped sales teams manage their deals and opportunities, while the Samples application streamlined the sample request and fulfillment process.The CPOC (Customer Point of Contact) and Revenue Close applications were designed to help manage customer relationships and the revenue and demand management system (RDMS) organization. The RDMS information platform was enhanced to provide new capabilities, including easy access to data and analysis, statistical functions, and fast reporting.The total number of applications in the portfolio increased to 18, and users grew to 8000+. This expansion has brought significant benefits to our business, empowering us with improved decision-making, more efficient processes, and better management of resources and relationships with customers.
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  • Intel Corporation
    Senior Business Intelligence Architect
    Intel Corporation Jan 2012 - Dec 2012
    Santa Clara, California, Us
    • Recipient of the Sales and Marketing Globe Award for the continuous improvement of their group. Relating the sales growth and revenue to the benefits of different processes, streamlining forecast accuracy and business intelligence platform; giving back time to the business to make better decisions by removing technical knowledge and activities to obtain information."- SMG.• Our Revenue Optimization project is based on GEO Inputs and the requirements for creating APACREVOPT as a unified worldwide Process. This global initiative is bringing together GEO demand, Revenue, Global Consumption, and Global indicators to enhance our forecasting and strategies.• The SSAS Command Center is a unified SSAS and Backend Management portal that I designed and architected. It serves as a central hub for our numerous Multidimensional Projects, Databases, and Multiple Environments. This platform allows for the review of current and historical information for Backend tuning and Support. Additionally, it offers remote on-demand Cube Generation and Refreshes for the Selected Business Analyst by GEO and Team.• MY BUSINESS INDICATORS PORTAL: I participated in transforming an existing dashboard solution into a new vision for Business indicators. Different reporting solutions merge into a one-stop shop for our company to access and request information and provide resulting details at their fingertips. As collateral benefits, business and technical teams can view the existing reports and EOL duplicate efforts. This Solution received a Divisional Recognition Award (DRA) from IT and SNC (Supply Network Chain).• PLATFORM BOARD AND SYSTEMS: I added a new business project (PBS) Information to our Dynamic and adaptive Business Intelligence platform that I developed, expert system generated their measures, KPI, and self-service expanded 500 users.• CHANNEL MANAGEMENT PLATFORM: Dynamic and adaptive platform to access, Visualize, and analyze Customer and Sales channels.
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  • Intel Corporation
    Business Intelligence Architect
    Intel Corporation Jan 2011 - Dec 2011
    Santa Clara, California, Us
    •MICROPROCESSOR MARKETING AND BUSINESS PLANNING(MMBP): Consolidating CPU and Chipset data under one Multidimensional Model and providing Basket and selling analysis and Customer/Product statistical indicators. •The success of the APACREVOPT v2 initiative has been remarkable. Following the triumph of revenue optimization, business teams requested a complementary process to support planning and distribution. The IJKK region was the first to adopt this solution, and its success and improvements have been significant. The alignment of the process from the bottom up has been a major win for corporate administration and leadership. This solution has now been presented to other GEOs and is being evaluated for Global Implementation, with early indications of significant adoption and success.• The EXTERNAL INTEL ARCHITECTURE (EIA) initiative selected my dynamic and adaptive Business Intelligence platform for data access, visualization, and analysis. This platform exceeded expectations by enabling a new business process for sharing and forecasting information on external products, enhancing our data analysis capabilities.• REVENUE AUDIT: Managed a VLDB designed for Audit, Legal, and Compliance, implementing a multidimensional model for easy access and retrieval. Achieved a 10x performance improvement with ad hoc querying and self-service BI, maintaining high security with encryption and strict protocols.•APACREVOPT: I Designed and Developed a Multidimensional Business Intelligence model and strategy to support Asia and Pacific's Revenue Optimization Process. Streamlines the process duration and resources and produces better results than traditional tools and methods.•SQL 2008R2 Migration: Implemented recommendations, automation, and best practices for a smooth transition to a new RDMS platform, enhancing backend performance. Recognized by Intel IT with a DRA.
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  • Intel Corporation
    Business Intelligence Architect
    Intel Corporation Jan 2010 - Dec 2010
    Santa Clara, California, Us
    • REVENUE AUDIT: To close the year, I engineer a POC (proof of concept) for the migration of ESSBASE models to a Microsoft SSAS OLAP Solution for Revenue Audit, allowing the end-of-life (EOL) of the Legacy system. In Q32010, I was recognized with a Partnership DRA, IT, SMG, Legal, and Litigation finance team.• FORECAST INDICATORS TRACKING. (FIT): I was honored with divisional recognition for my contribution to the business, particularly in improving accuracy in worldwide forecasting. This was achieved by comparing results from different methods in the complex Sales & Marketing Group statistical model, which involves intricate guard band calculations and Time staggered Data retrieval for Key Performance Indicators (KPI). This underscores my analytical skills and ability to handle complex statistical calculations.• NET AVERAGE SALES PRICE (NETASP): “the holy grail” Sales/Production/Planning/Rebates/Finance KPI (key performance indicator) that Implies A considerable number of variables in the formula. During every interaction and dynamic addition of data points, the accuracy for better deal decisions. This showcases my ability to handle complex formulas and provide real-time insights.• SAMPLES MANAGEMENT SYSTEM (SMS): High-value samples for Upcoming and R&D products are samples for our customers' product designs. Tracking and controlling these samples are top priorities, and I have provided a consolidated view of the sampling process in a multidimensional model. Users can now monitor and verify the location on a single system and implement statistical Risk analysis.• WEBQUOTE REPORTING BACKEND: Develop the backend Import and Merge of Data to support Internal Reporting. The backend is developed and implemented within a security context. According to business Benefits, the team replaces an unsupported reporting platform with a brand-new in-house development.
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  • Intel Corporation
    2009-Intel-Senior Business Intelligence Developer
    Intel Corporation Jun 2009 - Dec 2009
    Santa Clara, California, Us
    I significantly enhanced the REVENUE AND DEMAND MANAGEMENT SYSTEM (RDMS) by identifying and proposing improvements to the data loading process from the Enterprise Data Warehouse (EDW) and other sources. My suggestions led to a threefold reduction in daily data transfer time and more efficient resource utilization.Responsibilities/Deliverables: I designed, architected, and developed a proof of concept that enabled the Legal Division to access global revenue and deal with information more effectively. This POC was highly praised, becoming a best practice and evolving into a complete project. It improved the Legal team's operations by enhancing response times and cost efficiency. I received an Intel Divisional Recognition Award (DRA) for this contribution.
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  • Intel Corporation
    Business Intelligence Developer
    Intel Corporation Jan 2009 - Jun 2009
    Santa Clara, California, Us
    I co-authored the award-winning white paper "RDMS-Meta data driven Cubes," which was presented at the Intel IT Technical Leadership Conference 2009.• FIELD ACCOUNT REPORTING (FAR): I developed the data source and a custom OLAP model, designed and implemented dynamic account security, and managed Geo+Hosted GEO Security. I created calculated measures for the worldwide forecast of net and gross with Geo Scope, applying dynamic time functions and alternative solutions for aggregation and comparison. This solution provides global analytics for field account engineers, improving the decision-making process by presenting indicators, best practices, and analysis in a comprehensive solution. Senior management anticipates this will significantly enhance the sales process and increase visibility, serving a user base of 1,000 field engineers worldwide assigned to client accounts.• DEAL MANAGEMENT SYSTEMS (ECAPS, LCAPS, & IDMS): I provided DB technical SQL support and backend for COGNOS reporting. I was the SQL developer for data modeling related to various customer deals. I supported and designed the IBM COGNOS Framework Manager, creating metadata packages that offer strategic reporting insights. My achievements primarily include data modeling on complex scenarios and sources to deliver business-requested reports and analyses involving SQL views, procedures, functions, and scheduled activities for data collection. For these contributions, I received an Intel Divisional Recognition Award.
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  • Intel Corporation
    2008-Intel-Business Intelligence Developer
    Intel Corporation Jul 2008 - Dec 2008
    Santa Clara, California, Us
    • FORECAST ACCURACY ANALYSIS (FAAWG): I Developed and implemented FAAWG Analytics for three solutions GEO FAA, CPUFAA, and Global FAA. Added five projects TO NGCA: On the new platform, generate the OLAP Models and activate the BI Infrastructure for Internal Clients: Global Demand, Revenue Audit, CPU Data, and Net Average Sales Price.• NETASP became highly complex because it required the inclusion of information stored at different levels of aggregation, sources, and calculus in the algorithm.
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  • Intel Corporation
    2007-Cybersoft-Business Intelligence Consultant
    Intel Corporation Jul 2007 - Jun 2008
    Santa Clara, California, Us
    Intel Corporation 
: 
"The Creator," I Developed the smart analytical platform for the next generation of the common architecture for GEO DSS (Decision Support Services). Researched, architected, and coded the common platform and framework to support INTEL Internal Clients' Information Sources that Support an essential number of worldwide users (4000+) with GEO Replication and complex individual security access. Microsoft highlighted it as the most Advanced Solution they have seen.Without human interaction, the OLAP Models evolve daily based on the metadata generated by the users, business units, and external sources. To achieve this project, "The Creator," I develop an AMO Application that gathers metadata from the Operational Databases and user activities. The OLAP Databases, cubes, dimensions, Attributes, and measures are created dynamically based on the recollected data. Classifying the measures to the user's needs creates multiple measure groups with different storage designs (ROLAP or MOLAP). It takes metadata and adjusts the user hierarchies and grouping of attributes. Also, Implement domain securities dynamically on all objects of the OLAP Database and all levels of data. This regeneration and additions to the structure are daily. This pure technical AMO development and the DB Design achieved excellent performance on the massive amount of data, source, and forecasting data. We also fulfill complex security requirements, layers, and combinations within, depending on several elements of the data, Geography, and Clients, for the critical number of users worldwide with the best performance and user experience.
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  • Ritter Dragon
    2007-Ritter-Senior Business Intelligence Architect -Genomma Lab
    Ritter Dragon Nov 2006 - Apr 2007
    Mexico, Cdmx, Mx
    At Genomma Lab, I excelled as a subject matter expert in Business Intelligence by designing and implementing a robust Data Warehouse (DW) architecture that centralized and consolidated data from various sources for enhanced analysis. I skillfully applied data normalization and de-normalization techniques to identify production costs and develop a marketing price strategy, significantly maximizing the company's Return on Investment (ROI).Furthermore, I crafted a Corporate Information Factory (CIF) approach for the BI platform, ensuring a unified and comprehensive view of the company's data. This enabled more informed and efficient decision-making. I meticulously reviewed all reports generated by the platform and presented them to the Project Committee for deeper analysis and strategic adjustments.My efforts led to a noticeable reduction in production costs and an optimized marketing price strategy, culminating in increased profitability for Genomma Lab. Additionally, I significantly reduced report-processing time for critical business areas, enhancing the speed of decision-making and the company's agility in responding to dynamic business challenges.
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  • Ritter Dragon
    2007-Ritter-Senior Business Intelligence Architect-Consejo De La Judicatura Federal México
    Ritter Dragon Jan 2007 - Mar 2007
    Mexico, Cdmx, Mx
    At the Consejo de la Judicatura Federal in Mexico, responsible for managing and overseeing the judiciary's finances, I played a key role in enhancing their data management capabilities. I was tasked with designing, developing, and implementing a comprehensive data warehouse architecture to handle the vast amounts of financial data, including budgets, expenses, and commitments.My approach involved integrating and modeling each year's financial data into a structured format for each area of the financial solution, and constructing various OLAP cubes for initial budgets, modifications, commitments, and expenses. Once the data warehouse architecture was established, I developed virtual cubes with formulas for every version of government-accepted budgets and specific queries to retrieve information for a final cube.Additionally, I created corporate and ad-hoc reports to address the lack of analytics, helping to identify anomalies and monitor financial performance using data mining techniques. This solution enabled the Consejo de la Judicatura Federal to consolidate daily data effectively and utilize the data modeling process for more informed decision-making. It helped identify areas over and under budget, empowering executives to reassign budgets to different organizational units as needed, leading to more efficient and effective financial management.
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  • Ritter Dragon
    2007-Ritter-Senior Business Intelligence Architect - Grupo Lorant
    Ritter Dragon Dec 2006 - Jan 2007
    Mexico, Cdmx, Mx
    At Lorant Martínez Musi Salas y Compañía, Agente de Seguros y de Fianzas - Grupo Lorant, I tackled the unique challenges of the insurance brokerage industry by designing, developing, and implementing a robust Data Warehouse (DW) architecture. This strategic initiative leveraged data warehousing and OLAP modeling to provide powerful insights and enhanced reporting capabilities tailored to Grupo Lorant's diverse insurance offerings.Understanding the critical need for data privacy and control in the insurance sector, I incorporated reporting services with stringent security controls. This approach ensured the confidentiality and integrity of sensitive customer and financial data, addressing key industry challenges such as regulatory compliance and risk management.Through these enhancements, Grupo Lorant was empowered to make more informed decisions, optimize their insurance products, and maintain a competitive edge in the market. My contributions significantly improved their ability to analyze trends, predict customer needs, and tailor their services accordingly.
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  • Ritter Dragon
    2006-Ritter-Senior Business Intelligence Architect-I+D Mexico
    Ritter Dragon Nov 2006 - Dec 2006
    Mexico, Cdmx, Mx
    At I+D Mexico, I architected and coded a sophisticated highway pay toll system, along with the automatic insertion of received data nationwide into a parallel database warehouse. This system featured a unique design that effectively stored large volumes of information through data modeling. The process I implemented automatically partitioned relational data to expedite OLAP processing times. My BI modeling introduced business-oriented hierarchies absent from the operational data.I also designed and implemented a Data Warehouse (DW) architecture and Meta Data stores to analyze pay toll transactions and transport crossings, including detailed vehicle information. This innovation allowed the Executive Board and users to benefit from near-real-time visualizations of operations, integrating financial information from SAP. As a result, they could generate directive reports without needing external adjustments in Excel or other specialized solutions.I optimized the infrastructure by separating reporting users from the operational database, which significantly improved response times for both operations and reporting activities. This approach empowered users to analyze information without operation locks, delivering results in just a few seconds, enhancing efficiency and decision-making across the company.
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  • Ritter Dragon
    2006- Ritter-Senior Business Intelligence Architect -Pemex
    Ritter Dragon Sep 2006 - Oct 2006
    Mexico, Cdmx, Mx
    I developed a sophisticated custom data extraction module at PEMEX, the sole government-owned oil and gas agency responsible for producing and distributing energetics like gas, fuel, and chemicals. This module facilitated the analysis of time system logs and purchase order information. I created a BW Info Cube and Queries through data modeling that identified purchase orders that should have been registered in SAP but were processed through backup systems or alternate methods—this significantly enhanced transparency and accountability within the massive agency.Moreover, I developed a correlation model to pinpoint users and providers involved in these transactions, establishing it as a state-of-the-art fraud detection solution in the industry. This breakthrough led to critical findings that triggered new employee policies, ultimately saving PEMEX millions and reinforcing its status as a vital player in the global energy sector.
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  • Ritter Dragon
    2006-Ritter-Senior Business Intelligence Architect-Sedesol
    Ritter Dragon May 2006 - Aug 2006
    Mexico, Cdmx, Mx
    At SEDESOL-Oportunidades, a government ministry dedicated to social development (financing housing, infrastructure developments, and social aid programs), I played a crucial role in enhancing their financial/Budget management through advanced data modeling and analysis. By integrating and consolidating the agency's vast financial data, I developed OLAP cubes and virtual cubes that facilitated more informed decision-making and improved monitoring of financial performance.This strategic approach empowered SEDESOL's directors to effectively reassign budgets to areas most in need, including vital social development programs and emergency aid initiatives. My contributions significantly improved the organization's ability to manage its resources efficiently and extend its support to those most vulnerable, thereby enhancing its impact on national welfare and development.
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  • Ritter Dragon
    2006-Ritter-Senior Business Intelligence Architect -Liconsa S.A De C.V
    Ritter Dragon Jan 2006 - Apr 2006
    Mexico, Cdmx, Mx
    Liconsa S.A de C.V. is a government agency responsible for producing and distributing milk throughout the country. However, due to a large amount of dispersed data gathered over six years, it took time for the organization to manage and analyze this data effectively.To help Liconsa S.A. de C.V., I developed a comprehensive financial and distribution solution utilizing Microsoft SQL, SQL DTS process, and OLAP Data Modeling. By applying data normalization, generating business dimensions and hierarchies, and using data mining techniques, I created a robust data management system that allowed the organization to monitor its business performance and analyze data quickly.The solution included the development of business OLAP models for various areas such as distribution, sales, accounting, and clients. This enabled the board of directors to construct KPIs and reports to monitor business performance effectively. In addition, the solution empowered the accounting and financial departments with standard information required for analyzing clients' debt status/risk and financial statements, resulting in reliable on-time reporting and KPIs for effective decision-making in the organization.The project achieved a high ROI within two months of conception, thanks to the release of employee workload and increased productivity. The solution detected areas where products were damaged in excess, resulting in significant cost savings of 1 million dollars during the first data mining session.My financial and distribution solution for Liconsa S.A de C.V. has significantly streamlined operations, improved decision-making, and achieved significant cost savings.
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  • Ritter Dragon
    2006-Ritter-Senior Business Intelligence Architect -Procter & Gamble
    Ritter Dragon Sep 2005 - Feb 2006
    Mexico, Cdmx, Mx
    Procter & Gamble: 
 I developed a real-time pricing tracking and diagnostics solution for Procter & Gamble to overcome challenges in retrieving accurate and consistent pricing data from multiple retailers in Latin America. The organization relied on third-party companies to scan prices, resulting in various data sources that lacked a unique view and market planning capabilities.To address this, I architected and developed an internet-pricing framework that retrieves XML daily generated from 3rd party scanning across numerous retailers in Latin America. I also integrated data by AC Nielsen weekly information from the country on UTT (Big Customers) and HFS (convenience stores).To ensure the data was accurate and consistent, I processed it with business certainty formulas to solve inconsistencies within the data. This provided Procter & Gamble with a comprehensive view of pricing across retailers and the ability to analyze this data using best practice analysis and methodologies.The solution was presented with a client application that provided end-users with near real-time price information in LATAM. This allowed them to make informed business decisions and formulate reliable pricing campaigns.Overall, my real-time pricing tracking and diagnostics solution provided Procter & Gamble with a comprehensive and reliable view of pricing data from retailers in Latin America. The solution enabled them to make informed business decisions and formulate pricing campaigns based on accurate and consistent data.
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  • Ritter Dragon
    2005-Ritter-Senior Business Intelligence Architect
-Procter & Gamble
    Ritter Dragon May 2005 - Sep 2005
    Mexico, Cdmx, Mx
    Procter & Gamble 
: I developed a sales fundamentals solution for Procter & Gamble that addressed inconsistencies and the need for more data on sales fundamentals. I researched and utilized statistical data modeling processes to view sales data comprehensively.To further support this effort, I designed and implemented a data warehouse architecture for unstructured data, including normalization and de-normalization automated processes. This allowed Procter & Gamble to process and analyze large volumes of data more efficiently and effectively.Additionally, I developed an internet-PDA solution to retrieve daily generated XML data of Share of Shelves and out-of-stock information from 2000 checkpoints. This data was sourced from internal research through Precise Market Focus and complemented with AC Nielsen information from national markets. The solution monitored around 50,000 products over three years of history.These efforts provided Procter & Gamble with analytical capabilities and the information required to support marketing, sales, and distribution activities. The solution enabled the organization to make informed decisions based on accurate and consistent sales data, ultimately improving their sales fundamentals and driving market success.Overall, my sales fundamentals solution for Procter & Gamble was designed to provide the organization with a comprehensive and reliable view of sales data and enable them to make informed business decisions based on accurate and consistent information.
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  • Ritter Dragon
    2005-Ritter-Senior Business Intelligence Architect-Procter & Gamble
    Ritter Dragon Jan 2005 - May 2005
    Mexico, Cdmx, Mx
    Procter & Gamble 
: 
 I implemented a Point of Sales (POS) solution for Procter & Gamble that focused on analyzing data from Walmart and PG's top ten store chains in Mexico. The solution utilized market basket analysis and reports with sales metrics to improve performance for the 1.5 terabyte database.To achieve this, I developed OLAP models with calculated measures for the sales KPI required. This provided an analytical platform for market basket analysis, portfolio, and sales-profits reports. The market basket discovery technique was used to identify successful promotions and product packages well accepted by buyers, increasing sales by 20% on those combinations.Overall, my POS solution for Procter & Gamble enabled the organization to analyze sales data effectively and make informed business decisions based on market basket analysis, sales metrics and calculated KPIs. This allowed Procter & Gamble to improve its performance in the marketplace and achieve increased sales by successfully promoting product packages that resonated well with buyers.
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  • Ritter Dragon
    2005-Ritter-Senior Business Intelligence Architect-Procter & Gamble
    Ritter Dragon Jan 2005 - Apr 2005
    Mexico, Cdmx, Mx
    Procter & Gamble: 
 I developed a solution to address an order problem at Procter & Gamble, where sales representatives were overloading clients with products to achieve the organization's sales goals. I implemented data modeling of information sources and inventory collection to resolve this issue and developed an OLAP model to monitor and detect overstocked products.By applying calculated measures when joined to the sales information of specific clients, the solution was able to identify product displacement and stock levels. This helped prevent out-of-stock situations and level the distribution and client's leading product stock levels.The solution achieved several key accomplishments, including leveling distribution and orders, minimizing periodic ups and downs, and improving the organization's overall performance and market behavior. It also provided the organization with opportunities to distribute products to maximize sales, gave decision support for negotiation, and generated internal workload information about vendor performance and sales agents' behavior.Overall, my solution to the problem of the order at Procter & Gamble helped the organization address a critical issue in their sales strategy and enabled them to make informed business decisions based on accurate and consistent data. The solution provided valuable insights into product displacement, and stock levels, improved distribution and order management, and helped the organization achieve better performance and maximize sales.
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  • Ritter Dragon
    2005-Ritter-Senior Business Intelligence Architect-Procter & Gamble
    Ritter Dragon Nov 2004 - Jan 2005
    Mexico, Cdmx, Mx
    Procter & Gamble needed help analyzing Key Business Drivers and the relationship between market variables with all the information available. I integrated and modeled data as a business approach to market variables to address this challenge, including POS, pricing, sales fundamentals, and orders. I up-leveled the data summaries (aggregations) and detail and generated standard business taxonomies.The solution successfully detected the relationship between market variables and the different sales behavior of Procter & Gamble's products. By analyzing these patterns, we could prove several marketing theories and disprove other assumptions the business made. This enabled Procter & Gamble to observe the new patterns and proactively design business rules and marketing strategies to take advantage of them.Overall, the solution achieved the desired results by architecting and implementing a data model for the data warehouse (DW) and effectively detecting the relationship between market variables and sales behavior. This helped Procter & Gamble gain valuable insights into their marketing strategy and enabled them to make informed business decisions based on accurate and consistent data.
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  • Ritter Dragon
    2004-Ritter-Senior Business Intelligence Architect-Pemex
    Ritter Dragon Jun 2004 - Nov 2004
    Mexico, Cdmx, Mx
    PEMEX 
: 
 The Natural Gas Division of PEMEX required diverse analytic models, from sales to equipment uptime, to increase production, plan equipment maintenance, and improve oil and energy product storage and distribution. To achieve this, I implemented risk detection, energy production, storage, and loss measurement to create a comprehensive business platform capable of managing over 20 terabytes of data across several data clusters.To handle this vast amount of data, I utilized data normalization and de-normalization, along with complex performance-oriented data modeling. These models were made available to around 400 users who could monitor, generate statistical analysis, predict, minimize risks, detect fraud, and measure labor performance.The solutions developed in each business area supported decision-makers in the organization and the government's top executive in the presidency and the Energy Ministry. Overall, the solutions successfully provided PEMEX with valuable insights into its operations and enabled them to make informed business decisions based on accurate and consistent data.
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  • Ritter Dragon
    2004-Ritter-Senior Business Intelligence Architect-Bp
    Ritter Dragon Feb 2004 - Jun 2004
    Mexico, Cdmx, Mx
    British Petroleum: I designed and implemented a data warehouse (DW) architecture to consolidate the different companies' financials for British Petroleum's Latin America Financial Business. This involved extracting data from various systems such as SUN ERP, SAP, and others and aligning the data and accounting codes to provide financial statements and accounting reports.To address the different account requirements from England and Mexico, which were managed by accounting books, codes, and databases, I assigned individual attributes for each account to ensure a business dimension of different reports. This resulted in automatic ad-hoc report generation to corporate headquarters.The financial model I developed considered eight different companies, each with their accounting structures for their country. I achieved consolidation into a single financial statement to provide a complete overview of the companies' performance in Latin America.Overall, my solutions for British Petroleum's Latin America Financial Business enabled the organization to consolidate financial information from various sources, align accounting codes, and provide a complete overview of the companies' regional performance. This helped them make informed business decisions, minimize risks, and improve overall performance.
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  • Ritter Dragon
    2003-Ritter-Business Intelligence Architect-Fonacot
    Ritter Dragon Aug 2003 - Jun 2004
    Mexico, Cdmx, Mx
    For FONACOT, the National Housing and Credit Ministry, I recommended adjustments and best practices to their BI platform and designed the data warehouse (DW) architecture. Additionally, I increased the performance of DB2 and the BI platform, which resulted in improved speed and efficiency.Furthermore, I implemented Delta Master as the data mining solution. This solution provided valuable insights into FONACOT's operations and enabled them to make informed business decisions based on accurate and consistent data.Overall, my solutions for FONACOT enabled the organization to optimize its BI platform and data warehouse architecture, increase performance and implement a powerful data mining solution. This helped them gain valuable insights into their operations, minimize risks, and improve overall performance, leading to improved profitability and growth.
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  • Ritter Dragon
    2003-Ritter-Business Intelligence Architect -Sigma Alimentos
    Ritter Dragon Nov 2003 - Dec 2003
    Mexico, Cdmx, Mx
    Sigma:
 For Sigma, I developed a complete reporting solution for daily operations in manufacturing and food product distribution using SAP and BW data modeling, querying, and ad-hoc reporting. I compared Benchmark Net Weaver versus MIS reporting solutions and Crystal Server, ultimately selecting MIS as the most powerful, innovative, and flexible reporting platform.Using MIS, I created statistical reports of operations that provided valuable insights into performance and included a VIP consolidated version with forecasting and risks on distribution routes. My solution enabled Sigma to make informed business decisions based on accurate and consistent data while improving the organization's overall performance and efficiency.
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  • Ritter Dragon
    2003-Ritter-Business Intelligence Architect -La Corona
    Ritter Dragon Sep 2002 - Dec 2003
    Mexico, Cdmx, Mx
    LA CORONA CHOCOLATES (FOOD MANUFACTURER & DISTRIBUTION) 

 For LA CORONA CHOCOLATES, a food manufacturer and distributor, I created business models from information in ERP JD Edwards. I developed data modeling and de-normalization for specific OLAP analysis purposes. I made the reporting strategy for accounting and financials, sales, inventory, billing, and client analysis with the capability for ad-hoc reports from the data warehouse implementation.In addition, I applied data mining capabilities to each business model, which enabled the discovery of actionable outliers and patterns. This helped streamline the business and manufacturing processes, resulting in cost savings in the millions.My solutions for LA CORONA CHOCOLATES enabled the organization to gain valuable insights into its operations, minimize risks, and improve overall performance. The organization achieved significant cost savings by streamlining its business and manufacturing processes and discovering actionable patterns, leading to improved profitability and growth.
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  • Ritter Dragon
    2003-Ritter-Business Intelligence Architect-Sanborns
    Ritter Dragon Oct 2003 - Oct 2003
    Mexico, Cdmx, Mx
    Sanborns: 
 For Sanborns, I developed a data mining model with OLAP for sales analysis purposes. To overcome the performance challenges of parallel queries, tuning, and aggregating large amounts of data from SAP, I implemented a solution that enabled high-level executive presentations over sales and product behavior, providing valuable insights for optimizing sales nationwide.My solution for Sanborns provided the organization with valuable insights into their sales performance and product behavior. By implementing parallel queries, tuning, and aggregating large amounts of data from SAP, I enabled high-level executive presentations that helped the organization make informed business decisions based on accurate and consistent data.
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  • Ritter Dragon
    2002-Ritter-Business Intelligence Architect -Pemex
    Ritter Dragon Feb 2002 - Dec 2002
    Mexico, Cdmx, Mx
    For PEMEX, Mexico's oil industry, I implemented data mining solutions over Human Resources SAP and BW Info cubes, including information like payroll, assistance, job vacancies, and costs for active employees, retired employees, and post-mortem benefits.One of the significant achievements was the development of a fraud detection data warehouse with several million dollars in savings, procedures, and legal actions. Additionally, I created a personnel growth and performance analysis to improve negotiations with personnel syndicates, supported by quality and employee performance on statistical workbooks. This provided valuable insights into employee distribution by educational level, gender, and economic distribution, allowing work transparency.However, the technical difficulty was integrating several terabytes of data and creating models specific to different databases, formats, platforms, and ERP, from legacy systems to top-notch technologies such as SAP and BW. This required transforming the data and homogenizing the business taxonomies to provide different views and hierarchies of the business dimensions across the other divisions.My solutions for PEMEX enabled the organization to gain valuable insights into its human resources operations, minimize risks, and improve overall performance. The organization achieved significant cost savings by implementing data mining solutions and fraud detection data warehouses, leading to improved profitability and growth.
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  • Ritter Dragon
    2001-Ritter-Senior Business Intelligence Architect-Ing
    Ritter Dragon Jul 2001 - Feb 2002
    Mexico, Cdmx, Mx
    ING Insurance Bhd:
 In addition to developing a medical insurance disclaimers model and implementing a data warehouse architecture for ING Insurance Bhd, I also created a workflow monitoring solution for claims.This solution retrieved the workflow of a claim on the internal business process and detected bottlenecks and unusual workload concentrations. By analyzing this data, the company was able to reduce response time from 27 labor days to 14 with better accuracy, resulting in significant cost savings and a positive image for clients.Furthermore, I developed a methodology and solution for medical fraud detection based on medical bills and non-essential treatments crossed with patients' age. This solution provided a scope in which medical professionals could review and support decisions regarding doctor's participation and rates and enabled the discovery of fraud patterns and legal cases.Overall, my solutions for ING Insurance Bhd provided the organization with valuable insights into medical insurance claim trends, fraudulent activity, and workflow bottlenecks. These insights enabled the organization to make informed business decisions, minimize risks, and improve overall performance, resulting in substantial cost savings and a positive image for clients.
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  • Adtsi
    2001-Adtsi-Senior Software Developer
    Adtsi Feb 2000 - Jul 2001
    I developed a merchant website platform that enabled customers to ramp up their online shopping offers. The system was architected with SQL databases, ASP, HTML, and full-stack technologies, and it saw significant growth, with over 130 stores utilizing the platform.In addition to this, I also developed a platform named expertopolis.com, which provided users with answers to questions and expanded freelance opportunities. The platform was built on ASP, HTML, and SQL technologies and was eventually acquired by a large communications company.Overall, my solutions for these two platforms provided valuable services to users and enabled businesses to improve their online shopping offers. Utilizing technologies such as SQL databases, ASP, and HTML, I developed efficient and user-friendly platforms that saw significant growth and ultimately led to successful acquisitions.
  • Adtsi
    1998-Adtsi– It Auditor Consultant-Sat
    Adtsi Feb 1998 - Jan 2000
    For the Mexican IRS, SAT (Servicio de Administración Tributaria), I led a Y2K audit and certification project, including business continuity plans for the complete Tax and Revenue Agency from Mexico.To achieve this, I developed tools to automate code risk discovery and hardware risks and used the UK Sun system to provide comprehensive audit and certification. My team and I worked on hundreds of designs and platforms to offer this service. We also documented and tested continuity plans and disaster recovery protocols before the Y2K event.As a result of the timely fixes to code and hardware, the SAT did not experience any significant impact from the Y2K event. The organization continued its operations without significant disruptions, and the business continuity plans and disaster recovery protocols helped ensure that the agency could quickly recover from any potential issues. Overall, my work on this project helped ensure the continuity and stability of the SAT's operations during a potentially challenging time.
  • Adtsi
    1997-Adtsi-Software Architect-Imss
    Adtsi Apr 1997 - Feb 1998
    I participated in and won a government contest to migrate all computer systems for IMSS, Mexico's medical and social services organization. The challenge was to migrate systems from GCOS 6 in Bull systems to HP9000 servers distributed nationwide, a total of 40 servers.To achieve this, I utilized the French approach to simulate operating systems in HP-UX and run Cobol natively, optimizing it for performance gain from hours to minutes. I was responsible for the financial and accounting systems I successfully migrated in record time.The successful migration of these systems helped modernize the IMSS's infrastructure, improving its performance and efficiency. Optimizing the designs also led to faster processing times, allowing IMSS to better serve its patients and customers. Overall, my work on this project helped to ensure that IMSS could continue to provide quality medical and social services to the people of Mexico.
  • Adtsi
    1997-Amx Technology 
Newlab
    Adtsi Feb 1997 - Apr 1997
    I was involved in a Mexico and France co-development project that focused on tuning and testing a Unix-based system that could translate from any operating system to GCOS. This project aimed to modernize the government infrastructure in Mexico by allowing it to migrate to a more efficient and modern approach.The project was conducted in Les Ulis, France, and involved working closely with a team of developers to ensure the successful development and testing of the system. Our work involved extensive tuning and testing to ensure that the design was fully optimized and could seamlessly translate between different operating systems.The successful completion of this project allowed the government of Mexico to upgrade its infrastructure, making it more efficient and better able to serve its citizens. The modernization of the government infrastructure also helped improve the government's overall performance and productivity, ultimately benefiting the people of Mexico.
  • Sipros
    1995-Sipross-Software Engineer
    Sipros May 1995 - Feb 1997
    I was tasked with an urgent and seemingly impossible request: to develop a national registry for sportspeople across various disciplines in Mexico. This comprehensive system, designed with localized databases and a Visual Basic user interface, revolutionized the management of sports registration, credentials, and access to sports centers and competitive installations nationwide.Additionally, leveraging my expertise in PL/SQL and Informix, I single-handedly developed a new employee time check-in system for IMSS, Mexico's social services agency. This critical tool enhanced the efficiency and accuracy of employee(360,000) management within the organization.While part of a larger team, I also contributed to developing a new employee payment system for IMSS. Though I transitioned to a new company before this system's completion and implementation, my early contributions laid the groundwork for its eventual success.These achievements underscored my ability to deliver innovative solutions under tight deadlines, significantly modernizing and streamlining processes within these vital organizations and enhancing their capacity to serve the people of Mexico.
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  • Apice
    1993-Apice-Developer
    Apice Mar 1992 - Mar 1995
    I also developed the touch screen information kiosks for the "Festival Cervantino," sponsored by the State Government of Guanajuato.




 Touchscreen kiosks provided a user-friendly and interactive way for attendees to access information about the festival, its schedule, and other relevant details.Expanded the development platform and participated in the coding for Multivideo(Blockbuster) systems nationwide with satellite communications and Oracle databases. In addition, I created the first touchscreen systems for movie searching and information and deployed Kiosks across 80 stores.1992-APICE-DEVELOPER 
I created the technology, code generators, shared libraries, database design & standards for all developers. Complete systems suite created for nationwide multi-cinemas (800+ movie theaters) for Organizacion Ramirez (ORSA) that comprehends all operations of each cinema and headquarters consolidation and reporting in Oracle.1. Ticket sales: The system allowed customers to purchase tickets online or at the theater, and it integrated with the point-of-sale system to track ticket sales and revenue.2. Concession sales: The system allowed customers to purchase concessions and integrated with the point-of-sale system to track sales and inventory.3. Movie schedules: The system managed movie schedules and allowed theaters to create programs for multiple screens.4. Theater management: The system allowed theater managers to manage seating, staffing, and other aspects of theater operations.5. Reporting: The system provided detailed reporting and analysis of theater operations, including revenue, attendance, and staffing data.6. Loyalty programs: The system supported loyalty programs and allowed theaters to track customer data and offer rewards.Overall, the system suite I developed for Organizacion Ramirez was designed to streamline and optimize movie theater operations, improving the customer experience and maximizing revenue for the organization.
  • Collibri Productions
    1990-Collibri -Computer Animation Apprentice
    Collibri Productions Mar 1990 - May 1991
    I worked as an apprentice in a video and publicity agency, creating computer animations using the AMIGA platform and other animation software, including special effects, titles, and logos. I also created marketing and promotional videos, participating in all areas, from sales to plating, talent, production, edition, and publishing.

Gonzalo L. Linares-Rivas Education Details

  • Sep
    Sep
    Computer Software Engineering
  • Stanford Continuing Studies
    Stanford Continuing Studies
    Negotiations
  • Stanford Continuing Studies
    Stanford Continuing Studies
    Business Intellingence
  • Stanford Continuing Studies
    Stanford Continuing Studies
    Statistics

Frequently Asked Questions about Gonzalo L. Linares-Rivas

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Gonzalo L. Linares-Rivas works for 3cloud

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Gonzalo L. Linares-Rivas's current role is AI & Cloud Solutions Leader | LLM & GenAI Vision | Data Analytics & Business Intelligence | Enterprise Architect | Senior Software Engineer | Machine Learning & AI Innovation | Digital Transformation Expert.

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Gonzalo L. Linares-Rivas attended Sep, Stanford Continuing Studies, Stanford Continuing Studies, Stanford Continuing Studies.

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Gonzalo L. Linares-Rivas's colleagues are Gabriel Weitkemper, Dave Maurer, Muhamadi Ahmedov, Bob Box, Megan Burke, Ella Organ, Shrm-Cp, Aaron Nottestad.

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