Kin Liu
Senior Machine Learning Engineer at DoorDash
California, United States
Summary
👤
Senior🎓
Top SchoolKin Liu is a Senior Machine Learning Engineer with 11 years of experience and a Ph.D. focused on representation learning and control, now building large-scale ML systems for advertising and recommendation in California. He led Twitter’s MAP Ads and Conversion Modeling teams to launch the company’s first purchase optimization product—driving significant advertiser ROAS improvements and a substantial reduction in cost-per-purchase—while also architecting the next-generation MLOps platform on GCP. Kin’s background blends research and production: published at ICLR, WWW and RecSys, and completed research internships across internet, autonomous vehicle, and industrial settings (Twitter, FiveAI, Yahoo, Bosch). He’s skilled at privacy-preserving ML and mitigating real-world platform changes (e.g., iOS ATT) to sustain model performance. Beyond ads, his work spans graph embedding, trajectory prediction, and MPC-integrated control, reflecting an ability to translate advanced research into high-impact products.
11 years of coding experience
4 years of employment as a software developer
Hong Kong University of Science and Technology (HKUST)Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Stony Brook University
Github Skills (8)
geometry-shader9
grass8
shader7
rendering6
geometry5
directx4
game-development4
opengl4
Programming languages (1)
Github contributions (2)
Gospi/AMS
Dec 2017 - Jan 2018
Contributions:4 pushes in 1 month
mreinfurt/Grass.DirectX
Oct 2014 - Nov 2014
Realistic Grass Rendering using DirectX 11 and a geometry-shader based approach.
Contributions:13 commits in 1 month
shadersapproachdirectx-11game-developmentdirectx
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