David Woo
Staff Machine Learning Engineer at Pinterest
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolDavid Woo is a Staff Machine Learning Engineer with nine years of experience building large-scale, production ML systems and optimization solutions across consumer platforms. He combines a solid operations research and statistics foundation from Purdue with hands-on expertise in Python/R, C++, TensorFlow/Keras, and AWS to deliver ranking, marketplace optimization, and simulation-driven products. At Pinterest and prior roles at Instacart and AOL he shipped impactful models for homefeed ranking, driver incentives, churn reduction, and content virality, often translating research into measurable business gains. He also brings deep optimization and queuing experience—developing MIP formulations, CPLEX solutions, and grid-based distributed simulations that materially cut costs and runtime. Known for bridging research, engineering, and product teams, he thrives on turning complex mathematical ideas into reliable, production-ready pipelines.
9 years of coding experience
16 years of employment as a software developer
Bachelor of Science Industrial Engineering (Operations Research), Bachelor of Science Industrial Engineering (Operations Research) at Purdue UniversityGithub contributions (5)
david-woo-instacart/self-driving-cars
Jul 2017 - Oct 2017
Contributions:54 commits, 60 pushes, 1 branch in 3 months
david-woo-instacart/kitt-playlabs
Dec 2017 - Jan 2018
Contributions:30 pushes, 1 branch in 27 days
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