Looking for a job

Terence Chan

@terencechan

Message

I build production AI systems that automate enterprise decisions with real-time ML, RAG, and multi-agent workflows.

United States

Message

What I'm looking for

I'm looking to build production AI systems that improve operational decisions through reliable automation, real-time ML, RAG, and multi-agent workflows, while partnering with product and R&D teams and mentoring engineers.

At Motorola Solutions, I build and deploy real-time ML and AI pipelines that support enterprise operational analytics, predictive decision-making, and automated workflows.

I use Python, PyTorch, RAG, vector search, LangGraph/LangChain-style orchestration, REST APIs, Docker, Kubernetes, Azure Functions, CI/CD, and monitoring to deliver scalable model-serving systems. My modular workflows use structured context passing, task orchestration, agent handoffs, and human oversight to reduce inference latency and improve reliability.

I’ve integrated AI outputs into APIs, dashboards, and downstream workflows to make operational decisions traceable and actionable. I also mentor 5+ engineers on ML best practices, evaluation, feature engineering, and deployment, while partnering with R&D, product, and engineering teams to bring experimental AI research into production.

Earlier, I built full-stack analytics applications and automated data pipelines at Avansa, and developed predictive modeling and signal-processing prototypes at Innoblative Designs. My work spans predictive analytics, reinforcement learning, time-series modeling, generative AI experimentation, and production-ready ML integration.

Experience

Work history, roles, and key accomplishments

Senior Staff Machine Learning Engineer

Motorola Solutions

Jun 2020 - Sep 2026 (6 years 3 months)

Led design and deployment of real-time ML/AI pipelines using PyTorch and Azure Functions, enabling scalable model serving and enterprise operational analytics. Mentored 5+ engineers and collaborated with R&D, product, and engineering teams to convert experimental AI research into production-ready systems.

Python PyTorch LangGraph Lang Chain RAG Vector Search REST APIs Docker Kubernetes Azure Functions Azure AI CI CD Monitoring Observability Model Fine Tuning LoRAs QLoRA Multi agent orchestration Human In The Loop

Software Developer & Full Stack Engineer

Avansa

Jan 2019 - Jun 2020 (1 year 5 months)

Built and scaled full-stack applications with FastAPI services, Kubernetes, analytics pipelines, and interactive dashboards, enabling real-time KPI monitoring. Developed trading-strategy evaluation algorithms in Python and implemented automated data processing pipelines using Airflow and Pandas.

Python fastAPI Kubernetes Airflow Pandas ETL Data Pipelines Event Driven Workflows (BullMQ)Retries Fallbacks Interactive Dashboards Analytics

Research and Development Engineer

Innoblative Designs, Inc.

Jun 2015 - Dec 2018 (3 years 6 months)

Conducted predictive-modeling and signal-processing research using Python and TensorFlow, integrating prototypes into production-grade code via RESTful APIs. Developed experimental pipelines compatible with multi-step predictive inference.

Python TensorFlow Signal Processing predictive modeling REST APIs Prototyping Research

Research Assistant

SeNSE Lab

Jun 2014 - Jun 2015 (1 year)

Assisted in computational modeling of biomedical systems and processed experimental data using Python and NumPy. Developed Python scripts with Pandas and scikit-learn to automate data preprocessing and model evaluation.

Python NumPy Pandas scikit learn data preprocessing Model Evaluation Computational Modeling