Summary
Changyu Gao is an Applied Scientist at Amazon with a decade of experience bridging industrial engineering, mathematics, and machine learning to build production-ready NLP and transformer-based systems. He holds a PhD in Industrial Engineering and an MS in Computer Science from UW–Madison (MS GPA 3.98), and a BS in Mathematics from USTC, combining rigorous theoretical grounding with practical engineering. His background includes research at UW–Madison, an internship at Meta FAIR training transformer models, and prior Amazon work mining customer service chats with NLP—skills that translate into scalable applied research and model deployment. Known for moving ideas from research to production, he brings a rare mix of deep analytics, strong software engineering, and domain intuition in language applications.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Industrial Engineering, Doctor of Philosophy - PhD, Industrial Engineering at University of Wisconsin-Madison
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of Science and Technology of China
French