Ruida Zhou is a Senior Applied Scientist at Amazon AGI with seven years of experience designing and optimizing post-training recipes, algorithms, and pipelines for large language models. With a Ph.D. in Electrical Engineering from Texas A&M and a postdoc at UCLA, she combines rigorous information-theoretic foundations and optimization to build ML and RL algorithms with provable guarantees. Her work on model compression and learning has earned multiple best-paper awards at NeurIPS and ISIT and an IEEE student paper prize, reflecting a strong track record of high-impact research-to-product translation. At Amazon she has driven large-scale RL solutions for Nova LLMs and led customer-budget-control features, demonstrating an ability to bridge production constraints and advanced modeling. Based in Sunnyvale, she’s also a Vanderbilt & Brown alum in spirit from her GitHub bio, a coffee-loving football and esports fan, and a proud Taylor Swiftie—bringing both technical rigor and human curiosity to her work.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at University of Science and Technology of China
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Texas A&M University
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