Zhihan Zhang is an Applied Scientist at Amazon Rufus with eight years of experience advancing instruction-following and agent training for large language models. He completed a PhD in Computer Science and Engineering at the University of Notre Dame and has a track record of research internships across top labs (Amazon, Microsoft, Snap, Tencent) focused on instruction tuning, reinforcement learning, and knowledge-augmented reasoning. Zhihan blends academic rigor with production-minded research, shifting from recommender-system optimization to fine-tuning foundation models for alignment and math/ cross-lingual accuracy. Notably, his work spans both evaluation methodologies and practical post-training techniques, helping bridge model capabilities and real-world instruction-following behavior.
9 years of coding experience
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Peking University
Doctor of Philosophy - PhD Computer Science and Engineering, Doctor of Philosophy - PhD Computer Science and Engineering at University of Notre Dame
Contributions:14 pushes, 1 branch in 4 years 4 months
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