Ivan Smith

Ivan Smith Email and Phone Number

Data Scientist @ Nutrien | Building AI solutions with LLMs @ Nutrien
Ivan Smith's Location
Calgary, Alberta, Canada, Canada
Ivan Smith's Contact Details
About Ivan Smith

AI Research Scientist, ML Engineer and Cloud Architect with over 18 years’ experience developing, configuring, testing and supporting next generation enterprise solutions.Working with stakeholders to build, test and deliver artificial intelligence applications at scale. Technology professional with broad data science, infrastructure and software development skills -- creating next generation artificial intelligence and deep learning solutions to solve real-world technology problems.Areas of Focus:Data ScienceMachine LearningArtificial IntelligenceCloud ArchitectureDeep LearningPredictive Analytics Algorithm DesignSearch technologies (Lucene, Solr)Text mining & NLPApplication Development (C#, Python, R, & Java)Front-end Technologies (Angular 2, React and jQuery)Machine Learning Frameworks (TensorFlow, Caffe, PyTorch, Keras, Microsoft Cognitive Toolkit)Agile & Rapid Application Development (RAD) Test-Driven Development (TDD)Continuous Integration (CI)NoSQL (MongoDB)

Ivan Smith's Current Company Details
Nutrien

Nutrien

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Data Scientist @ Nutrien | Building AI solutions with LLMs
Ivan Smith Work Experience Details
  • Nutrien
    Data Scientist
    Nutrien Jul 2023 - Present
    Saskatoon, Saskatchewan, Ca
    Developed and delivered generative AI prototypes leveraging both structured and unstructured data, employing fine-tuned embedding models, advanced LLMs, and Retriever-Augmented Generation (RAG) techniques to create sophisticated question-and-answer agents for diverse internal applications.Engineered and implemented an MLOps framework to facilitate the training, deployment, and ongoing enhancement of AI systems, ensuring seamless integration and scalable operation within production environments.Enhanced the capabilities of existing embedding and base LLM models through strategic application of RAG and supervised fine-tuning methods, resulting in improved model performance and accuracy.Successfully deployed and managed AI solutions on cloud platforms, including the integration of open-source models such as Llama 3 on AWS and ChatGPT via Azure Open AI Service, optimizing for performance and scalability.Advanced image-to-text analysis capabilities by deploying and fine-tuning image analysis models integrated with RAG 2.0 systems, achieving significant improvements in model interpretability and response accuracy.Oversaw end-to-end solution management, from conceptual design through to deployment, utilizing Infrastructure as Code (IaC) practices with tools such as AWS CDK and Azure DevOps to ensure robust and repeatable environments.Conducted comprehensive analytical tasks to refine AI models, adopting a data-first strategy that enhanced model training processes and outcomes.Crafted robust solutions using programming languages Python and C#, demonstrating versatility and technical proficiency in software development for AI applications.
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  • Rogers Communications
    Cloud Architect
    Rogers Communications Nov 2021 - Oct 2023
    Toronto, Ontario, Ca
    Engineered and delivered cloud-based prototypes and analytics solutions for enterprise business applications, focusing on scalable architectures and advanced data integration.Designed and supported cloud infrastructures utilizing AWS managed services, including CloudFormation, CDK, and Serverless frameworks, optimizing for robust and efficient system integration.Contributed strategic insights on cloud data analytics solutions in various roles including solution panels and governance committees, influencing the direction of enterprise-level data strategies.Collaborated with data strategy and analytics teams to architect and implement data pipelines for MLOps, ETL, and batch processing of large-scale vulnerability data, enhancing data flow and operational efficiency.Developed and presented high-level analytics solutions centralizing security data for strategic enterprise planning, significantly influencing decision-making processes at the senior management level within a comprehensive vulnerability management framework.Partnered with developers and data scientists to create and demonstrate proof-of-concept projects for addressing diverse business and data operations challenges through operationalized machine learning solutions.Utilized generative AI through synthetic data solutions, employing Generative Adversarial Networks (GANs) to create realistic test datasets from production data, enhancing testing and validation processes.Collaborated closely with operations teams to sustain and enhance data-driven solutions, leveraging analytics to maximize operational impact and scalability.Managed large-scale data processing using AWS EMR, employing MapReduce and other big data technologies to handle and analyze extensive datasets efficiently.Investigated and experimented with various large language models (LLMs) to prototype diverse applications across the business, showcasing potential use cases and benefits of AI technologies.
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  • Nutrien
    Manager, Operations Insights
    Nutrien Nov 2020 - Aug 2021
    Saskatoon, Saskatchewan, Ca
    Led the development of internal teams dedicated to crafting and scaling advanced monitoring, automation, and predictive analytics systems across the organization. Pioneered the integration of machine learning technologies to address unique, mining-specific challenges, transforming enterprise operations.Engaged in strategic collaborations with premier research institutes and universities to pioneer innovative solutions for autonomous mining, process control, and integrated planning, pushing the boundaries of current mining technologies.Routinely updated management and key stakeholders on project progress and strategic developments, ensuring alignment and securing buy-in for ongoing and future initiatives.Directed a cross-disciplinary team of data scientists and analytics experts, overseeing research collaborations with top academic institutions to drive forward-thinking approaches in AI application.Architected robust frameworks and best practices necessary to support large-scale artificial intelligence applications, facilitating sustainable growth and operational efficiency.Developed sophisticated simulation models and cloud computing architectures, alongside comprehensive machine learning operations pipelines, to enhance data processing and analytical capabilities.Worked closely with site stakeholders to define project specifications, supported the recruitment of top-tier data science talent, and crafted detailed roadmaps to ensure timely project delivery.Provided regular updates to both site-level and corporate stakeholders, soliciting both formal and informal feedback to refine product development strategies effectively.Mentored and guided internal teams in developing statistical models, machine learning algorithms, and broad data science competencies, significantly enhancing organizational capacity for data-driven decision-making.
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  • Nutrien
    Data Scientist
    Nutrien Aug 2019 - Nov 2020
    Saskatoon, Saskatchewan, Ca
    Engineered advanced machine learning and deep learning applications for industrial condition monitoring and automation, utilizing cutting-edge computer vision technologies across multiple frameworks such as PyTorch, TensorFlow, MXNet, and Yolo.Pioneered innovative analytics methodologies to lay the groundwork for a digital twin architecture, leveraging historical control system data to simulate real-world processes.Spearheaded the development of critical computer vision technologies that underpin successful autonomous mining operations, enhancing operational efficiency and safety.Created cloud-based web applications, including interactive dashboards and IoT services for real-time telemetry and operational reporting, using technologies such as React, C#, and Python.Collaborated with key stakeholders to define project objectives, identify vital data sets, and strategize on augmenting existing data pools to support robust model training and validation.Regularly traveled to field sites to deploy and fine-tune machine learning systems tailored for autonomous operations, ensuring alignment with site-specific requirements and conditions.Conducted extensive data science activities, including hypothesis testing, feature engineering, and data validation, using a diverse array of tools and languages such as Python, Pandas, and Scikit-Learn.Innovated IoT applications integrated with AWS web services to streamline model deployment, code updates, and telemetry gathering via MQTT protocols.Designed and implemented a data-driven continuous improvement framework, enabling the creation of self-learning, self-correcting machine learning systems applicable across multiple production scenarios.Utilized Generative Adversarial Networks (GANs) to generate synthetic data for enhancing the accuracy and reliability of computer vision and forecasting models.
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  • Clarsentia
    Lead Data Scientist
    Clarsentia Sep 2017 - Aug 2019
    Calgary, Alberta, Ca
    Developed C# .Net competitive intelligence web applications using leading data science predictive modeling and machine learning techniques. Designed predictive algorithms to discover market trends analyzed using time series data spaning a wide range of industries, tracking real-time social metrics on over 33,000 companies from 300 unique data sources.Lead team of data scientists and software developers to research and test new forecast models to correlate emotional responses to social data and predict how emotional responses affect consumer trends, pioneering a new area in data science.Collaborated with other leading institutions to research, patent and implement Natural Language Processing (NLP) engine in the analysis of unstructured, noisy social data.Designed, tested and validated a series of machine learning algorithms using Python, C#, Java, and R. Once developed, algorithms were then translated into a pure C# for scalability, ease of future development, performance and supportability.Applied test-driven development (TDD) practice using a combination of unit testing, functional testing and acceptance testing to drive agile development efforts.Created API-centric, scalable dashboards using Microsoft Azure and Windows Communications Framework (WCF) REST services for distributed computing.Built Clarsentia Search engine via NoSQL (Lucene and MongoDB) approach to data, allowing customers to search for sentiment metrics on any topic in real-time using concept mapping techniques.Designed predictive algorithms combining and testing various statistical modeling techniques to increase the accuracy of industry sentiment forecasts by 24%.Collaborated with industry experts to design a deep learning algorithm, combining Support Vector Machines (SVMs), K Nearest Neighbor (kNN) and Artificial Neural Networks (ANN).Created visualizations and dashboards to make consumption of information easy for customers.Successfully brought the product to market in 2017.
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  • Husky Energy
    Information Systems Advisor
    Husky Energy Oct 2012 - Aug 2017
    Calgary, Alberta, Ca
    Developed .Net C# web applications to support ongoing internal and corporate-wide initiatives in agile teamsBuilt containerized (Docker) API REST services for integrating SharePoint Online with on-prem content management system (CMS)Developed cognitive services and automation tools leveraging natural language processing (NLP) and machine learning techniques to streamline communications and change management processesIntegrated Service Management platform ServiceNow with other C# intranet web applications to provide high-level view of ongoing maintenance and change activities for business groupsCollaborated with technical and non-technical stakeholders to define requirements and design mockups using focus groups, road-shows, surveys and email campaignsSpearheaded and formalized development and testing best practices including Agile, Object Oriented programming, SDLC and Rapid Application Design (RAD) methodologiesPresented concepts to management and business unit leads across the organization for stakeholder assessment and buy-inDeveloped communication strategies collaborating with Organizational Change Management (OCM) teams to identify, assess and ultimately reduce potential risks to projects and operational change rolloutsResponsible for migrating intranet sites from legacy platform to leading HTML5, CSS, and C# solution -- working closely with other junior developers and graphic designers to create responsive, mobile friendly web sites using JavaScript (jQuery), Angular 2, React and BootstrapCollaborated with Corporate Communications, senior management and other key stakeholders to create communication strategies for large enterprise technology upgrades and rollouts including SAP, Citrix, VMware, Windows 7 and Skype for Business migrationsPerformed various devops tasks including configuring and maintaining company intranet web servers using IIS in Windows 2008 through to Windows 2016.
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  • Guest-Tek
    Manager, Information Technology
    Guest-Tek Sep 2006 - Oct 2012
    Calgary, Alberta, Ca
    Managed team of infrastructure specialists in the design, configuration, deployment and support of applications and network servicesWrote automation scripts in C# to streamline repeatative onboarding tasks. Completed full infrastructure redesign to achieve an entirely redundant, virtualized, high availability environmentDeployed virtualized solutions-based technologies for all departments; organizing schedules, deadlines and resources as requiredResponsible for IT infrastructure budget planning and all procurementSet priorities and deliverables for the infrastructure teamManaged a team of IT professionals and provided support for all corporate servers, networks and phone systemsCollaborated with Network Engineering in switch configuration and router trouble-shootingDeveloped new IT processes and procedures used company-wide, ensuring C-SOX and ISO compliancy and effective user access controls (UAC)Designed, configured and implemented a number of Windows domain schemes and regional domain controllers, supporting several regional offices globallyDeveloped trouble-shooting guides and testing proceduresResponsible for maintaining the corporate server environment and ensuring network connectivity was available in remote office call centers globally at all timesResponsible for Avaya phone system in a call-center environment, including upgrades, configuration and maintenanceMaintained all email, Blackberry and web services using a variety of applications including Exchange 2010, Blackberry Enterprise Server and MSSQLManaged after hours support to ensure stakeholders were able to get assistance at all timesDesigned, developed and implemented a variety of VOIP solutions used throughout the world with Avaya, Cisco and NEC products
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  • Emerson Process Management
    Software Developer
    Emerson Process Management Jan 2004 - Sep 2006
    St. Louis, Mo, Us
    Developed desktop training software used for onboarding in C#.Worked with business stakeholders to gather requirements and publish courses SharePoint hosted web applications.Developed software for SCADA Delta-V process control equipment.Developed and implemented various automation tools and scripts to streamline development efforts in PowerShell.Worked with development team to build and test intranet web applications in SharePoint for supporting ongoing corporate initiatives.
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Ivan Smith Skills

Microsoft Exchange Troubleshooting Microsoft Sql Server Active Directory Vmware Cisco Technologies Servers It Management Information Technology Sharepoint Networking Network Engineering Routers Technical Writing Hyper V Virtualization Web Development Vmware Infrastructure Cisco Wireless .net Firewalls Sox Compliancy Hp Procurve Networking C# Change Management Unified Communications Infrastructure Security Voip Network Design Iis Web Design Unified Messaging Data Science Big Data Analytics Natural Language Processing Text Mining Restful Webservices Asp.net Mvc Software Development Life Cycle Software As A Service Statistical Modeling Data Visualization Algorithm Design R Machine Learning Java Python Scala Hadoop Sql

Ivan Smith Education Details

  • Everest University-Tampa
    Everest University-Tampa
    Computer Science

Frequently Asked Questions about Ivan Smith

What company does Ivan Smith work for?

Ivan Smith works for Nutrien

What is Ivan Smith's role at the current company?

Ivan Smith's current role is Data Scientist @ Nutrien | Building AI solutions with LLMs.

What is Ivan Smith's email address?

Ivan Smith's email address is iv****@****oco.com

What is Ivan Smith's direct phone number?

Ivan Smith's direct phone number is +140329*****

What schools did Ivan Smith attend?

Ivan Smith attended Everest University-Tampa.

What are some of Ivan Smith's interests?

Ivan Smith has interest in Science And Technology, Education, Arts And Culture, Children.

What skills is Ivan Smith known for?

Ivan Smith has skills like Microsoft Exchange, Troubleshooting, Microsoft Sql Server, Active Directory, Vmware, Cisco Technologies, Servers, It Management, Information Technology, Sharepoint, Networking, Network Engineering.

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