Chenyun Zhu
Applied Scientist at Amazon Web Services (AWS)
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolChenyun Zhu is an applied scientist with 9 years of experience building production-grade ML and NLP systems, currently focusing on RAG-based AI reliability and retrieval expansion at Amazon in Bellevue. With a MA in Statistics from Columbia and a dual BS in Applied Math & Statistics and Economics, she bridges rigorous statistical foundations with practical ML engineering. Her recent work at AWS Training & Certification scaled LLM-powered content maintenance and earlier roles shaped search ranking and proactive personalization for Alexa Shopping. She has a track record of moving research into production—designing evaluation frameworks for broad-intent search and improving recommendation quality at Gartner. Comfortable across the stack, she blends experimentation, evaluation, and deployment to drive measurable improvements in accuracy and operational efficiency. Colleagues would note her ability to translate complex model behavior into dependable systems that serve millions of users.
9 years of coding experience
8 years of employment as a software developer
Master of Arts - MA Statistics, Master of Arts - MA Statistics at Columbia UniversityBachelor of Science - BS Applied Mathematics & Statistics Economics (Double Major), Bachelor of Science - BS Applied Mathematics & Statistics Economics (Double Major) at Stony Brook University
Github Skills (1)
javascript1
Github contributions (5)
zjlszcy/Fragile-Families-Challenge
May 2017 - Apr 2020
Contributions:6 pushes in 3 years
javajavascriptgithub-classroom
zjlszcy/Image-Classification-Labradoodle-or-Fried-Chicken
Mar 2017 - Dec 2018
Contributions:8 pushes in 1 year 9 months
javagithub-classroom
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