Ellison Yin Nang Chan, Developer in Orlando, FL, United States
Ellison is currently unavailable

Ellison Yin Nang Chan

Bio

Ellison is an AI/ML executive and technologist with 30+ years in HPC, telecom, finance, and aviation. He's an expert in translating research into enterprise AI/GenAI platforms, building top engineering teams, leading multi-million-dollar programs, and advising C-suite on AI strategy. He's skilled in GenAI, NLP, computer vision, cloud platforms, MLOps, and enterprise architecture. Ellison has a proven record in delivering innovative, scalable AI solutions.

Portfolio

Advantage Solutions
Azure Databricks, Azure, Snowflake, Devin, AI Agents, Azure OpenAI Service...
Southwest Airlines
Leadership, Data Science, Amazon SageMaker Pipelines...
Tata Consultancy Services
Keras, TensorFlow, TensorFlow Serving, Python 3, Jupyter Notebook...

Experience

  • Software Engineering - 20 years
  • Machine Learning - 10 years
  • Artificial Neural Networks (ANN) - 10 years
  • Artificial Intelligence (AI) - 10 years
  • Python 3 - 10 years
  • Keras - 8 years
  • TensorFlow - 8 years
  • AI Agents - 3 years

Preferred Environment

Linux, Windows, PyCharm, Jupyter, Visual Studio Code (VS Code)

The most amazing...

...production-ready AI app I've developed with the Devin coding agent was a Python FastAPI app that leveraged React on Azure and RAG AI via OpenAI.

Work Experience

Principal Software Engineer

2023 - 2025
Advantage Solutions
  • Reported to the VP of data and analytics while directing enterprise adoption of GenAI and agentic AI systems. Integrated the Cognition AI Devin coding agent with Azure Web Apps and Zendesk APIs to accelerate development workflows.
  • Built full-stack Azure solutions using Databricks, OpenAI, and RAG vector search. Led supplier intelligence and expense fraud detection initiatives, leveraging LLMs to analyze supplier websites and credit card transactions.
  • Coordinated an enterprise semantic and ontology modeling vendor tender with Microsoft, Kyvos, and Timbr. Delivered AI proofs-of-concept and provided architecture guidance supporting the Microsoft Copilot trial rollout.
Technologies: Azure Databricks, Azure, Snowflake, Devin, AI Agents, Azure OpenAI Service, Microsoft Copilot Studio, Microsoft Power BI, TensorFlow, TensorFlow Serving, PyTorch, Keras, GitHub Copilot Chat, GitHub, Linux, Bash Script, C++, C#.NET, Java, Python 3, Data Science, Data Analytics, Data Scientist, Marketing Analytics, Marketing Mix Modeling, LangChain, Large Language Models (LLMs), Amazon Web Services (AWS), SQL, Predictive Modeling, Data Engineering, Data Analysis, Python, RAG Systems, Custom Models, AI Architecture, Retrieval-augmented Generation (RAG), AI Copilots, Microsoft Copilot, AI Security, Agentic RAG Systems, Vector Databases, RAG Pipelines, TypeScript, Model Context Protocol (MCP), GPU Computing, Large Language Model Operations (LLMOps), Graphics Processing Unit (GPU), Solution Architecture, CI/CD Pipelines, ML Pipelines, Financial Data, Fraud Detection, Financial Data Analytics, Credit Risk, Azure AI Search, Foundry, Microsoft Power Platform, RAG Architecture, Terraform, Azure AI Studio, RESTFul APIs, Low Code, AI Model Training, Training, Automation, CRM APIs, OpenAI, Debugging, Prompt Engineering, Claude Code, Claude, Architecture, Data Pipelines, Reporting, Financial Analysis, API Integration, Agentic AI, Agentic Frameworks, Scraping, Web Scraping, AI Consulting, Forecasting, XGBoost, Logistics & Supply Chain, Probabilistic Modeling, Time Series Forecasting, Logistic Regression, Data Architecture, Data Modeling, Data Governance, Azure Data Factory (ADF), ETL, Back-end, Distributed Systems, System Architecture, FastAPI, Asynchronous Programming, Event-driven Architecture, Cloud Platforms, Multi-agent Systems, Model Evaluation, Webhooks, LangGraph, AutoGen, Data Classification, Quantitative Modeling, Risk Management, SciPy, Scikit-learn, Linear Regression, Regression Modeling, Feature Engineering, Statistics, Pricing Elasticity, Pricing Models, AI Pipeline, API Development, Computer Vision, Data Extraction, Document Parsing, PostgreSQL, CAD, AI-assisted Development, AI Enablement, AI Tools, Software Development Lifecycle (SDLC), Cursor AI, System Development Life Cycle (SDLC), Statistical Analysis, Statistical Methods, Anthropic, Data Management, Data Quality Governance, California Consumer Privacy Act (CCPA), General Data Protection Regulation (GDPR), GDPR, Cloud Governance, APIs, AI Consulting, Executive Consulting, Artificial Intelligence (AI), Generative Artificial Intelligence (GenAI), Machine Learning Operations (MLOps)

Data Science Manager

2022 - 2023
Southwest Airlines
  • Managed and mentored a three-person data science team, guiding project delivery, technical development, and collaboration across analytics and engineering teams to ensure high-quality machine learning solutions.
  • Designed and deployed AWS-based machine learning monitoring frameworks and automated data pipelines to track model performance, improve reliability, and support scalable data-driven applications.
  • Owned performance management and delivery outcomes, aligning team objectives with business goals, overseeing project execution, and ensuring timely delivery of analytics and machine learning initiatives.
Technologies: Leadership, Data Science, Amazon SageMaker Pipelines, Artificial Intelligence (AI), Machine Learning, Artificial Neural Networks (ANN), Data Analytics, Data Scientist, Marketing Mix Modeling, Large Language Models (LLMs), Amazon Web Services (AWS), SQL, Predictive Modeling, Behavioral Testing, Data Engineering, Data Analysis, Python, Custom Models, AI Architecture, AI Security, GPU Computing, Graphics Processing Unit (GPU), Solution Architecture, CI/CD Pipelines, ML Pipelines, AI Model Training, Training, Automation, Debugging, Data Pipelines, Reporting, Financial Analysis, AI Consulting, Forecasting, XGBoost, Logistics & Supply Chain, Probabilistic Modeling, Time Series Forecasting, Logistic Regression, Data Architecture, Data Modeling, Data Governance, ETL, Distributed Systems, System Architecture, Asynchronous Programming, Event-driven Architecture, Cloud Platforms, Model Evaluation, Webhooks, Data Classification, Quantitative Modeling, Risk Management, SciPy, Scikit-learn, Linear Regression, Regression Modeling, Feature Engineering, Statistics, Pricing Elasticity, Pricing Models, AI Pipeline, API Development, Computer Vision, Data Extraction, Document Parsing, PostgreSQL, CAD, AI-assisted Development, AI Enablement, AI Tools, Software Development Lifecycle (SDLC), System Development Life Cycle (SDLC), Statistical Analysis, Statistical Methods, Data Management, Data Quality Governance, California Consumer Privacy Act (CCPA), General Data Protection Regulation (GDPR), GDPR, Cloud Governance, Technical Program Management, APIs, AI Consulting, Executive Consulting, Artificial Intelligence (AI), Machine Learning Operations (MLOps)

Principal Architect, Delivery Manager

2019 - 2022
Tata Consultancy Services
  • Led the AI center of excellence for travel, transportation, and hospitality, defining and executing AI/ML, RPA, and data science strategy for a major airline client while aligning innovation initiatives with business objectives.
  • Built neural network solutions for pilot scheduling optimization, biometric measurement, baggage detection, and NLP-based passenger feedback analysis while integrating AI capabilities with Blue Prism and UiPath RPA platforms.
  • Led more than 22 data scientists and engineers across onshore and offshore teams and presented quarterly governance, delivery, and innovation updates to airline executives to guide strategic technology investments.
Technologies: Keras, TensorFlow, TensorFlow Serving, Python 3, Jupyter Notebook, IT Management, Mentorship & Coaching, AI Project Management, Data Science, Data Analytics, Data Scientist, Marketing Analytics, Marketing Mix Modeling, Amazon Web Services (AWS), SQL, Predictive Modeling, Behavioral Testing, Data Engineering, Data Analysis, Python, Custom Models, AI Architecture, AI Security, Azure, Google Cloud Platform (GCP), GPU Computing, Graphics Processing Unit (GPU), Optical Character Recognition (OCR), PDF, Workflow Automation, Workflow Automation & System Integration, Solution Architecture, CI/CD Pipelines, ML Pipelines, Financial Data Analytics, Credit Risk, AI Model Training, Training, Automation, CRM APIs, Debugging, Architecture, Data Pipelines, Reporting, Financial Analysis, API Integration, AI Consulting, Forecasting, Vertex AI, XGBoost, Logistics & Supply Chain, Probabilistic Modeling, Time Series Forecasting, Logistic Regression, Data Architecture, Data Modeling, Data Governance, ETL, Back-end, Distributed Systems, System Architecture, Asynchronous Programming, Event-driven Architecture, Cloud Platforms, Model Evaluation, Webhooks, Data Classification, Quantitative Modeling, Risk Management, SciPy, Scikit-learn, Linear Regression, Regression Modeling, Feature Engineering, Statistics, Pricing Elasticity, Pricing Models, AI Pipeline, API Development, Computer Vision, Data Extraction, Document Parsing, CAD, AI-assisted Development, AI Enablement, AI Tools, Software Development Lifecycle (SDLC), System Development Life Cycle (SDLC), Statistical Analysis, Statistical Methods, Data Management, Data Quality Governance, California Consumer Privacy Act (CCPA), General Data Protection Regulation (GDPR), Collibra, GDPR, Cloud Governance, Technical Program Management, APIs, AI Consulting, Executive Consulting, Artificial Intelligence (AI), Machine Learning Operations (MLOps)

Lead AI Consultant

2018 - 2019
PayPal
  • Served as a machine learning and AI consultant supporting PayPal initiatives.
  • Contributed expertise in scalable model deployment and advanced analytics to strengthen fraud detection capabilities and platform performance.
  • Optimized multi-GPU fraud detection models for production SaaS environments and served as a core contributor to the PayPal AI platform team, helping advance enterprise AI infrastructure and model deployment practices.
Technologies: TensorFlow, TensorFlow Serving, Docker, Jenkins, Google Cloud Platform (GCP), Java, Keras, Amazon Web Services (AWS), Data Engineering, Python, AI Security, Fintech, GPU Computing, Graphics Processing Unit (GPU), CI/CD Pipelines, ML Pipelines, Financial Data, Fraud Detection, AI Model Training, Automation, Debugging, API Integration, AI Consulting, XGBoost, Probabilistic Modeling, Time Series Forecasting, Logistic Regression, Back-end, Distributed Systems, System Architecture, Data Classification, Quantitative Modeling, Risk Management, SciPy, Scikit-learn, Feature Engineering, Statistics, AI Pipeline, API Development, Data Extraction, AI-assisted Development, AI Enablement, AI Tools, Software Development Lifecycle (SDLC), System Development Life Cycle (SDLC), Statistical Analysis, Statistical Methods, Data Management, Data Quality Governance, California Consumer Privacy Act (CCPA), General Data Protection Regulation (GDPR), GDPR, Cloud Governance, APIs, AI Consulting, Executive Consulting, Artificial Intelligence (AI), Machine Learning Operations (MLOps)

Experience

Full-stack App

Using the Devin coding agent, I created and deployed a production-ready Python FastAPI application. The solution included an Azure web app with a FastAPI back end and a React front end, fully deployed internally to support a Zendesk compliance process while adhering to strict HIPAA and enterprise data governance standards. The back end leveraged a RAG-based architecture using OpenAI and the Databricks platform, enabling secure, intelligent retrieval and analysis of enterprise data to drive compliance workflows efficiently.

AI-powered Zendesk Compliance Platform (RAG and FastAPI on Azure)

I designed and deployed a production-grade AI compliance platform to support Zendesk operations handling sensitive customer data. I built a Python FastAPI back end and React front end on Azure Web Apps, integrating Azure OpenAI Search with a RAG architecture and Databricks for scalable data processing. Leveraging the Devin coding agent to accelerate development, I delivered a secure, HIPAA-compliant solution that automated workflows, improved information retrieval speed, and reduced manual effort while meeting enterprise data governance standards.

Education

2014 - 2019

Master's Degree in Computer Science

Concordia University - Montreal, Canada

2005 - 2007

Master's Degree in Business Administration (MBA)

Queen's University - Kingston, Canada

1996 - 1999

Bachelor's Degree in Computer Science

Concordia University - Montreal, Canada

Skills

Libraries/APIs

TensorFlow, PyTorch, Keras, XGBoost, SciPy, Scikit-learn, API Development, Zendesk API, Hugging Face Transformers, Node.js

Tools

Azure OpenAI Service, Microsoft Power BI, TensorFlow Serving, GitHub, Jenkins, PyCharm, Jupyter, Claude Code, Claude, Microsoft Copilot, Terraform, CAD, Collibra, C#.NET WinForms

Languages

Bash Script, C++, C#.NET, Java, Python 3, SQL, Python, Snowflake, TypeScript, Fortran

Frameworks

Agentic Frameworks, LangGraph, AutoGen

Paradigms

Parallel Programming, Automation, ETL, Asynchronous Programming, Event-driven Architecture, Model Context Protocol (MCP)

Platforms

Azure, Microsoft Copilot Studio, Linux, Jupyter Notebook, Docker, Windows, Databricks, Unix, Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure AI Search, Microsoft Power Platform, Azure AI Studio, Vertex AI, Azure Web Apps, Visual Studio Code (VS Code)

Storage

Data Pipelines, PostgreSQL

Industry Expertise

System Development Life Cycle (SDLC)

Other

Machine Learning, Artificial Intelligence (AI), Artificial Neural Networks (ANN), Business Modeling, Software Engineering, Networking, Applications, Azure Databricks, Devin, AI Agents, GitHub Copilot Chat, Data Science, Amazon SageMaker Pipelines, Mentorship & Coaching, APIs, Distributed Systems, Neural Networks, Image Processing, Data Analytics, Data Scientist, Large Language Models (LLMs), Predictive Modeling, Behavioral Testing, Data Engineering, Data Analysis, Custom Models, AI Architecture, Retrieval-augmented Generation (RAG), AI Security, Agentic RAG Systems, Vector Databases, RAG Pipelines, Large Language Model Operations (LLMOps), Graphics Processing Unit (GPU), Solution Architecture, CI/CD Pipelines, ML Pipelines, Financial Data, Fraud Detection, RAG Architecture, AI Model Training, Training, CRM APIs, OpenAI, Debugging, Prompt Engineering, Architecture, Reporting, API Integration, Agentic AI, Scraping, Web Scraping, AI Consulting, Forecasting, Logistics & Supply Chain, Probabilistic Modeling, Time Series Forecasting, Logistic Regression, Data Modeling, Data Governance, Back-end, System Architecture, Cloud Platforms, Multi-agent Systems, Model Evaluation, Webhooks, Data Classification, Quantitative Modeling, Risk Management, Linear Regression, Regression Modeling, Feature Engineering, Statistics, Pricing Elasticity, Pricing Models, AI Pipeline, Computer Vision, Data Extraction, Document Parsing, AI-assisted Development, AI Enablement, AI Tools, Software Development Lifecycle (SDLC), Cursor AI, Statistical Analysis, Statistical Methods, Data Management, Data Quality Governance, California Consumer Privacy Act (CCPA), General Data Protection Regulation (GDPR), GDPR, Cloud Governance, Technical Program Management, AI Consulting, Executive Consulting, Artificial Intelligence (AI), Generative Artificial Intelligence (GenAI), Machine Learning Operations (MLOps), Computer Graphics, Finance, Business, Leadership, IT Management, LangChain, Hugging Face, FastAPI, Marketing Analytics, Marketing Mix Modeling, Bayesian Statistics, RAG Systems, AI Copilots, Fintech, GPU Computing, Optical Character Recognition (OCR), PDF, Workflow Automation, Workflow Automation & System Integration, Financial Data Analytics, Credit Risk, Foundry, RESTFul APIs, Low Code, Financial Analysis, Data Architecture, Azure Data Factory (ADF), Anthropic, Robot Operating System (ROS), AI Project Management, Azure Blob Storage

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