Alan Tan Email & Phone Number

Novi, Michigan, Us

AIOps.Enables AI to manage computer systems they run on.

London, Gb

Identify proper technology supporting business vision. Provide technical strategy advice, create a technical roadmap, and facilitate vendor evaluation and feasibility study.Multi-sensory emotion detection, Voice-to-text, text sentiment analysis, real-time conversation based on GenAI, and fine-tuning LLM model for domain specific use cases.

Kitchener, On, Ca

Lead Data Scientists, Machine Learning Engineers, Software development engineers, and Site Reliability Engineers delivering Artificial Intelligence as a Service for auto-manufacturing industry. Establish and communicate technical strategy, roadmap, product vision, and architectural directions.Coordinate design and development of AI-as-a-service product, continuously deployed as an edge-cloud hybrid. Spearhead updating the tech stack to the microservices architecture, adopting React (Next.js), Nest.js, Kafka, Redis, Databricks, HiveMQ, MongoDB and serverless applications.Bringing data-centric AI to manufacturing plants, creating robust data transformation platforms that automate and standardize IIoT data transformation into Machine Learning ready structure on-the-fly in real-time. Deployed supervised and unsupervised deep learning and reinforcement learning to cloud and edge, detect anomalies, and predict quality in real-time.Flexible smart data-streaming transformation democratizes data flow adjustments allowing ever-changing real-world production lines to evolve seamlessly with the help of modern AI technology.Strengthen Agile practice and CI/CD, DevOps tools, align Technology and Product roadmap, empowering the teams to strive for on-time delivery. Ultimately accountable for SaaS deployment and operation, SLA, and de-escalationInspire and support career development for highly talented teams, increase maintain high employee engagement.

Toronto, On, Ca

Modernize and grow market-leading EHSQ (Environment, Health, Safty, Qaulity) product, software architecture, PaaS, and SaaS Cloud Operations. Expedite transition to Cloud-Native offering on Azure and AWS with Micro-service architecture while ensuring high SLA to millions of users and thousands of customers on .Net/SQL with near-zero downtime. Leading the transitioning of the R&D, QA, Cloud Operations, and Software Architecture from the PE-investment stage to a subsidiary of a Fortune 500.Lead the Engineering organization in expanding the first Low-Code EHSQ technology platform (PaaS) to SaaS solutions to offering fact-based predictive and Artificial Intelligence capabilities, offering IoT (Connected Gas Detector) integration with EHSQ compliance management, and introducing a user-experience first development model.Strategizing based on VoC, balance feature development for the needs of different customer personas, i.e. low-code app developers, partner developers, customer execs, admins, and end-users.Revamp development teams Agile practice, improve collaboration with Product Management, improve CI/CD DevOps culture, challenge the teams to deliver small and deliver often, and focus on customer outcomes. Enhancing security commitment with embedded DevSecOps initiatives.Leading SRE and Cloud Operations in improving up-time, performance, scalability, optimizing hosting cost, and compliance with health, safety, privacy regulations, and standards SoC2, ISO27000, HIPPA, and GDPR.Serve as the final escalation point for all technical issues from R&D to SRE, Incident resolution for 7*24 Cloud services operations, and ensure customer satisfaction. Motivate and enable the teams, help team members progress within their career path, and identify, mentor, and develop leaders within the Engineering ecosystem.Tech Stack: .Net, Azure, React Native and React.js, Javascript/Typescript, GraphQL, SaaS, PaaS, Identity Providers.

Walldorf, Bw, De

Head of Intelligent Technology (Machine Learning, IoT, Crypto), Innovation Service & Solutions.Bringing Innovation Management Consulting to businesses technology delivery -- AI and IoT enabled Digital Transformation of Enterprises. As a vivid advocate of cross-functional and cross-organizational collaboration, I lead my organization delivering leading-edge intelligent business enabled by advanced technologies in Manufacturing, and FinServ industries.Develop new businesses and build teams by hiring and developing dozens of Architects, Data Scientists, Developers, IoT experts, who work directly with customers, design, architect and build solutions that transform business processes using Intelligent Technologies, including Artificial Intelligence, Industry Internet-of-Things (IIoT) and Robot Process Automation, Big Data and Predictive Analytics, Distributed Ledgers and Smart Contract.Elevating transformative capabilities of 1000+ of managers, sales executives, architects, and consultants on in-Memory DB, Machine Learning, IoT and business innovation. For unique, strategic clients, I personally provide innovation strategies management consulting services to selected C-level executives who focus on "industry-shattering" transformation in regards to leveraging AI to redefine their industry. As a welcomed public speaker, I raise awareness of AI technology and its implications within the business management community, while representing SAP Intelligent Technology services in media, public events, and customer engagements. I write about industry trends, innovative business strategies, and emerging technologies' business implications, opportunities for business decision-makers.

Walldorf, Bw, De

I led the organization delivering SAP HANA (in-memory analytics database) implementation service in North America. I was one of the founding members of the core leadership team that ensured HANA successfully disrupted a mature RDBMS market and owned over 1 Billion dollars market share. I led business development, including Go-To-Market, Demand Generation, market awareness, technical alignment, and direct customer visits to achieve a service revenue of over 100M annually, on top of the billion-dollar software license revenue.I also mentored, trained and coached Sales, and Partners on HANA technology, and represented the technical branch of the services in front of over 100 customer c-levels, and public events. I introduced the Predictive library and Machine Learning integration to the N.A. market. I also personally taught HANA Elite Acadamy, which trained over 350 partner managers, PM, architect, engineers and Sr. Consultants on HANA technology.

Walldorf, Bw, De

Led SAP HANA consulting since its inception. Being one of the recognized thought leaders in the in-memory database field. Managed Consulting services delivery for SAP HANA, Big Data, Advanced Analytics implementations and NetWeaver Development consultanting team. Guide consultant's career growth by mentoring, coaching and other enablement activities. See lessCreated packaged services portfolios related to SAP HANA, and supervised or directly led large-scale project implementations.

Munich, De

Managing Senior consulting team offering SAP Hosting and implementation services to large organizations.Being part of the leadership team in charge of customer retention, customer satisfaction, and revenue growth. Led Tech-leads who functioned as the top-level contact for customers' IT management. Manage customer relationship with IT managers. Manage Service Delivery at Unix, Database, SAP Basis level out of the outsourcing data center.

Vevey, Ch

Managing projects related to SAP Basis Administration. Perform SAP Basis administration when required.

Beijing, Bj | Beijing, Us

Set and execute startup technical strategy. First to introduce and offer reverse-cloud services in the Chinese market.Grew business to 9-digits revenue in less than 3 yearsBuild engineering team group up to 50+ highly talented experts and thought leaders.

Master Of Information Data Science, Information Technology

Mba, Business

Mba, Management

Bachelor, Mis

Leadership & Innovation

Cloud & Devops: Continuous Transformation