Morris Jamieson Chen

Morris Jamieson Chen

AI Product Manager

TELUS AI Accelerator

Biography

Morris Chen is a passionate problem-solver with a background in ML Engineering, DevOps, and Software Development, now thriving as an AI Product Manager, dedicated to bringing technology to stakeholders and delivering impactful solutions.

Interests
  • Artificial Intelligence
  • Computer Vision
  • Generative AI
Education
  • Master of Science, Computer Science, Machine Learning Specialization, 2025

    Georgia Institute of Technology

  • Bachelor's of Applied Science, Engineering Science, Machine Intelligence Option, 2021

    University of Toronto

Experience

 
 
 
 
 
TELUS AI Accelerator
AI Product Manager & Machine Learning Engineer
September 2021 – Present Toronto
  • Led the development of location analytics products to enable better customer marketing of TELUS products, leading to $16M in incremental revenues.
  • Identified regional customer churn, and led a cross-functional team across engineering and marketing for churn saves, increasing revenues by $1.1M/yr.
  • Created Generative AI chatbot and predictive regression models in call-center search tool, reducing 20 min per Client Care agent and saving $1M/yr in costs.
  • Pioneered use of GCP Vertex AI, MLOps pipelines, and BigQuery in the team.
 
 
 
 
 
Royal Bank of Canada, Capital Markets
AI Developer
May 2020 – August 2020 Toronto
  • Created document searching tool powered by Natural Language Processing document similarity to search over 20K financial regulations resources.
  • Deployed NLP models and MLOps to monitor model drift and handle retraining.
 
 
 
 
 
TELUS, Innovation Factory, Subscriber Data Management
DevOps Engineer
September 2019 – April 2020 Toronto
  • Created real-time language translation voice call service with Microsoft Azure.
  • Built a test automation framework with Jenkins for testing 5G communications.
 
 
 
 
 
Industrial Technology Research Institute (ITRI)
Deep Learning Researcher
May 2018 – December 2019 Toronto
  • Developed the first traffic surveillance system for the New Taipei Police Bureau, with automated license plate recognition using deep neural networks.
  • Trained super-resolution models for video surveillance using GANs and U-Net.
  • Deployed ML models for inference with NVIDIA CUDA and TensorRT.
 
 
 
 
 
Royal Bank of Canada, Capital Markets
Data Scientist
May 2019 – August 2019 Toronto
  • Created intelligent, patented* daily market analysis engine summarizing financial news and stock price movements.
  • Performed idea creation in cross-functional team to identify stakeholder needs.

*Patent: https://patents.justia.com/patent/11556992