Rockson Chang
Machine Learning Engineer at RAI Institute
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolRockson Chang is a machine learning engineer with a decade of experience who transitioned from a PhD in physics to building production ML systems across startups and scale-ups. He has led data science teams and shipped ML at Meetup and Instacart, and now applies research-rooted rigor to applied ML work at RAI Institute. Comfortable both managing teams and contributing as an individual engineer, he bridges academic methods from optics and physics with pragmatic industry practices. Based in Boston, he combines deep quantitative training with product-focused delivery, often translating complex models into reliable, production-ready solutions. An unusual strength is his background in experimental physics, which informs a careful, measurement-driven approach to model validation and deployment.
9 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at University of TorontoBachelor of Science in Engineering Engineering Physics, Bachelor of Science in Engineering Engineering Physics at Queen's University
English, French
Github Skills (7)
aws-lambda1
kubernetes1
avro1
fluentd1
aws1
k8s1
lambda1
Programming languages (1)
Github contributions (5)
rocksonchang/Science-Trends
Oct 2016 - Feb 2018
Contributions:4 commits, 3 pushes, 1 branch in 1 year 3 months
rocksonchang/arXiv-metadata
Jun 2016 - Feb 2018
Contributions:13 commits, 11 pushes, 1 branch in 1 year 7 months
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