Yicheng He is a research engineer based in California with 8 years of experience building recommendation systems and multimodal learning solutions. Currently at ByteDance (TikTok Intelligent Creation), he focuses on productionizing research into scalable recommendation and multimodal pipelines. His background includes academic research at Columbia Engineering on few-shot and multimodal learning, bridging rigorous experimentation with practical deployment. Trained in both mathematics and computer science (Wesleyan and Columbia), he brings strong theoretical grounding to applied ML problems. Colleagues appreciate his balance of curiosity and pragmatism—he even greets the day with a light-hearted “May you a nice coding day,” hinting at an approachable, team-friendly style.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Mathematics and Computer Science, Bachelor of Arts - BA, Mathematics and Computer Science at Wesleyan University
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Columbia University in the City of New York
Contributions:1 review, 290 commits, 102 PRs in 10 months
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