Summary
Shuja Khalid is a Senior Researcher and PhD-trained machine learning scientist with nine years of experience building and deploying ML systems across healthcare, industry, and academic settings. He has led applied research and inference engineering—shipping quantized LLM fine-tuning, agentic workflows, and a PyTorch video diffusion prototype for industrial clients—while also producing clinical-grade surgical skill assessment algorithms deployed on AWS. Combining deep academic work at the Vector Institute and University of Toronto with hands-on product engineering at startups and hospitals, he bridges novel research (NeRF refinements, surgical vision) and practical, cost-optimized cloud deployments. Based in Toronto, he brings a rare blend of medical imaging, robotics-adjacent signal processing, and modern LLM tooling, with a track record of turning research prototypes into production-ready services.
9 years of coding experience
8 years of employment as a software developer
Self-Driving Car Nanodegree Artificial Intelligence, Self-Driving Car Nanodegree Artificial Intelligence at Udacity
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at University of Toronto
Mechanical Techniques Certificate Mechanical Engineering Related Technologies/Technicians, Mechanical Techniques Certificate Mechanical Engineering Related Technologies/Technicians at George Brown College
English, Urdu