Summary
Terence Chan is a Senior Machine Learning Engineer based in Chicago with a decade of experience building production ML systems and full-stack applications. He blends an academic foundation in electrical engineering, computer science and biomedical engineering from Northwestern with hands-on roles at Motorola Solutions, Avansa, and R&D labs to turn ambiguous problems into actionable models and visualizations. Proficient in Python, TensorFlow/Keras, scikit-learn, SQL and visualization toolkits, he also contributes front-end and embedded experimentation work, reflecting a maker’s curiosity beyond core ML. Known for clear communication and cross-functional collaboration, he pairs user research and product thinking with rigorous engineering to deliver impactful results.
10 years of coding experience
12 years of employment as a software developer
Master’s Degree Electrical Engineering and Computer Science, Master’s Degree Electrical Engineering and Computer Science at Northwestern University