Shuang Yang is an ML research scientist and seasoned engineering leader with eight years of experience building large-scale recommendation, search, and visual discovery systems across startups and tech giants. He co-founded two AI startups (one a founding member of YiDian) and led product and ML teams at Alibaba and Ant Group, shipping Alibaba’s PaiLiTao visual search and enterprise-grade financial ML services. At Twitter and Operator he built early conversational UI and centralized ML platforms that powered core products and supported dozens of teams, and he now brings that product-to-research perspective to Meta. He holds a PhD in Computer Science from Georgia Tech and maintains active research footprints linked on his Google Scholar and institutional homepages. A pragmatic scientist who moves models into production, he combines deep research roots with proven exits and product leadership.
8 years of coding experience
11 years of employment as a software developer
Ph.D, Computer Science, Ph.D, Computer Science at Georgia Institute of Technology
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