Summary
Qizhang Feng is an applied scientist with seven years of experience at the intersection of machine learning research and production engineering, currently based in San Jose and newly appointed at Amazon. He has a strong academic foundation—PhD candidate in Computer Engineering at Texas A&M, a Master's from Duke, and a high-achieving undergraduate degree—paired with applied industry stints at Amazon (intern and now full-time), Samsung Electronics America, Microsoft Research Asia, and research roles at NYU. His work blends deep research exposure with short-cycle industry implementations, suggesting an ability to translate novel algorithms into practical systems under real-world constraints. Qizhang’s background indicates fluency across research, prototyping, and product-focused ML engineering, especially in environments that demand rapid iteration and rigorous validation. Notably, he has navigated both top-tier research labs and large-scale product teams, a combination that helps bridge academic rigor with deployment-readiness.
7 years of coding experience
1 year of employment as a software developer
Master's degree, Electrical and Computer Engineering, 3.8, Master's degree, Electrical and Computer Engineering, 3.8 at Duke University
Doctor of Philosophy - PhD, Computer Engineering, 3.5, Doctor of Philosophy - PhD, Computer Engineering, 3.5 at Texas A&M University
Bachelor's degree, Electrical and Electronics Engineering, 3.85, Bachelor's degree, Electrical and Electronics Engineering, 3.85 at Huazhong University of Science and Technology