Sheng Qin is a Staff Software Engineer based in Menlo Park with a decade of experience building large-scale systems at Meta, where he has contributed to Ads Infrastructure and AI Platform Personalization. He combines rigorous academic training—from Zhejiang University to MIT and Yale—with hands-on production expertise, bridging brain-and-cognitive-science-informed thinking and pragmatic engineering. Known for shipping scalable, data-driven personalization and advertising infrastructure, he thrives at the intersection of research and production engineering. He began as a visiting scholar at MIT, a background that informs his methodical approach to complex system design and experimentation.
10 years of coding experience
Brain and Cognitive Science, Brain and Cognitive Science at Massachusetts Institute of Technology
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Yale University
Bachelor's degree, Computer Science and Technology, 3.84/4 (Overall), 3.90/4(Major), Bachelor's degree, Computer Science and Technology, 3.84/4 (Overall), 3.90/4(Major) at Zhejiang University
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