Yuan Shao is a Staff Software Engineer with nine years of experience specializing in recommendation systems and machine learning, currently shaping YouTube Shorts' video recommendation pipeline from San Carlos, CA. With an MS in Computer Science from UCLA and hands-on internships at LinkedIn and Face++ focused on feed relevance, transfer learning, and object detection, he blends research instincts with production-grade engineering. He has a track record of improving feed relevance using transfer learning techniques and moving models into large-scale production at Google. Comfortable with both research and applied ML, he brings deep domain expertise in personalization and real-time recommendation systems. A UCLA alum who transitioned from academic research to high-impact product engineering, he pairs rigorous experimentation with pragmatic scaling.
9 years of coding experience
Qingdao No.2 Middle School
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Jilin University
Contributions:5 commits, 2 pushes, 1 branch in 1 day
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