Research Fellow at Nanyang Technological University Singapore
Seattle, Washington, Singapore
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Summary
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Senior
🎓
Top School
Xinyang Zhang is an applied scientist and research-focused engineer with a decade of experience building and productionizing large language models across Amazon, ByteDance, Twitter, and Google. He earned a PhD in Computer Science from UIUC and combines deep academic grounding with hands-on expertise in pre-training, long-context and hybrid-attention architectures, and LLM post-training for code generation. At Amazon he worked on models for shopping and customer understanding and contributed to Rufus LLM at Amazon Rufus; more recently he joined Anthropic as a Member of Technical Staff. Xinyang’s background includes multiple successful intern-to-hire research engagements and shipping internally used pre-trained models that incorporate social engagement signals—an indicator of his ability to bridge cutting-edge research with production constraints. Based in Seattle, he blends rigorous modeling skill with practical deployment experience across consumer and developer-facing ML products.
10 years of coding experience
8 years of employment as a software developer
Physics, Physics at Sun Yat-sen University
High School Diploma, High School Diploma at Shenzhen Experimental High School
BS in Physics summa cum laude, BS in Physics summa cum laude at University of Illinois Urbana-Champaign
PhD in Applied Physics, PhD in Applied Physics at Stanford University
Contributions:6 PRs, 3 pushes, 14 branches in 10 months
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Xinyang Zhang - Research Fellow at Nanyang Technological University Singapore