Matthew Wen is a software engineer specializing in applied generative AI, currently contributing to SFT and RL efforts for Amazon Nova as an SDE II after progressing through Alexa AI. With a Computer Engineering degree from Purdue (3.88 GPA) and a decade of hands-on experience from internships to full-time roles, he blends low-level systems knowledge with modern ML tooling. He has a track record of teaching and mentoring as a UTA for data structures, C programming, and circuits, which complements his product-focused work on production AI features. Based in Sunnyvale, he brings practical cloud and embedded experience from roles at John Deere and Morey, plus a curiosity for endurance running and team-oriented projects like Purdue’s CAM2 drone team. Notably, he moved quickly from SDE I to SDE II within Amazon while shifting focus into cutting-edge RL-based model alignment.
10 years of coding experience
3 years of employment as a software developer
High School, High School at Barrington High School
Bachelor's degree, Computer Engineering, Minor in Economics and Mathematics, Certificate in Entrepreneurship, 3.88 / 4.00, Bachelor's degree, Computer Engineering, Minor in Economics and Mathematics, Certificate in Entrepreneurship, 3.88 / 4.00 at Purdue University
Contributions:9 commits, 30 PRs, 23 pushes in 9 months
handling
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Matthew Wen - Software Development Engineer II, AGI at Amazon