Summary
Jason Taylor is a Senior Machine Learning Engineer with a decade of experience building production-grade computer vision and ML systems for startups and safety-critical products. He has led teams and R&D across domains including automated stop-arm enforcement, biometric liveness detection, and self-driving perception, and is fluent in Python, TensorFlow and PyTorch. Jason combines research rigor—an incomplete PhD in machine learning and a strong academic background in electrical engineering—with practical engineering, shipping edge deployments, pruning tools that cut model size/runtime by over 50%, and cross-camera re-identification pipelines. Based in Old Toronto, he mentors engineers, drives product roadmaps, and tends to focus on robustness under noisy labels and real-world constraints rather than just benchmark gains.
10 years of coding experience
11 years of employment as a software developer
Master of Science (MSc) Electrical and Computer Engineering, Master of Science (MSc) Electrical and Computer Engineering at University of Manitoba
PhD - incomplete Machine Learning, PhD - incomplete Machine Learning at McGill University