Summary
Yawen Wu is an Applied Scientist II at Amazon Web Services AI in New York with 11 years of experience building and deploying large language and vision-language models for products like Amazon Q and CodeWhisperer. Her career spans industry research and academia, including senior research engineering at Qualcomm, ML internships at Meta Reality Labs and Baidu USA, and a PhD from the University of Pittsburgh focused on efficient, fair AI for healthcare. She combines hands-on model engineering—particularly LLMs for coding and on-device ML—with system-aware deployment skills honed across cloud and edge environments. Known for bridging research and productization, she brings a track record of shipping practical, efficiency-focused ML solutions in both industrial and academic settings. An engineer comfortable with both low-level optimization and high-level model design, she often tackles fairness and resource-constrained inference challenges that are easy to overlook in production ML.
11 years of coding experience
7 years of employment as a software developer
Master of Science - MS Control Science and Engineering, Master of Science - MS Control Science and Engineering at Shandong University
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at University of Pittsburgh
English, Chinese