Zhihan Zhang

Applied Scientist at Amazon

Notre Dame, Indiana, United States
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Summary

👤
Senior
🎓
Top School
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.
code9 years of coding experience
bookBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Peking University
bookDoctor of Philosophy - PhD Computer Science and Engineering, Doctor of Philosophy - PhD Computer Science and Engineering at University of Notre Dame
languagesChinese, English
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Github Skills (12)

reflection5
language-model4
natural-language-processing4
evaluation4
llm2
bootstrap2
transformer1
pytorch1
tensorflow1
large-language-models1
encoder-decoder1
question-answering1

Programming languages (2)

JavaScriptPython

Github contributions (5)

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ytyz1307zzh/NCET-ProPara

Dec 2019 - Dec 2019

A re-implementation of NCET on ProPara dataset (NAACL 2019 Workshop on Structured Prediction for NLP).
Contributions:134 commits, 24 pushes in 27 days
natural-language-processing
ytyz1307zzh/Miscellany

Oct 2019 - Feb 2024

Contributions:14 pushes, 1 branch in 4 years 4 months
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