Calvin Woo
Software Engineer, Machine Learning at Meta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolCalvin Woo is a software engineer specializing in machine learning with 11 years of experience, now building ML systems at Meta after senior roles in MLOps and applied ML at WeightWatchers and Prognos Health. He combines a strong mathematical background from PhD work in mathematics with hands-on engineering across production ML, model ops, and health-tech applications. Calvin has a particular interest in Bayesian probabilistic methods and probabilistic programming language design, and he’s exploring compiler design to accelerate model development and deployment. Based in San Francisco, he brings research rigor from academic visits and extended graduate research to pragmatic product-focused engineering, bridging theory and production in ML workflows. An unusual strength is his deep comfort moving between abstract probabilistic modeling and low-level infrastructure optimizations that speed model iteration.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) (ABD) Mathematics, Doctor of Philosophy (PhD) (ABD) Mathematics at Indiana University BloomingtonBachelor of Arts (B.A.) Mathematics, Bachelor of Arts (B.A.) Mathematics at The College of New Jersey
English
Github Skills (71)
python10
data-warehouse10
web-analytics10
javascript10
posthog10
feature-flags10
session-replay10
cdp10
analytics10
ab-testing10
react10
ai9
cordova9
typescript9
slack9
Programming languages (7)
Github contributions (5)
calvinwoo/dotfiles
Oct 2020 - Dec 2024
Contributions:12 pushes, 1 branch in 4 years 2 months
calvinwoo/knockout-bind-react
Oct 2015 - Feb 2019
A custom binding for KnockoutJS that renders a given ReactJS component within the specified element.
Contributions:8 commits, 2 PRs, 23 pushes in 3 years 4 months
knockoutknockoutjsreact
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