Guanghao Ye is a research-focused software engineer and PhD student in EECS with roughly 11 years of hands-on experience spanning internships and research roles across top labs and companies. He blends rigorous algorithmic training from UW and MIT with applied ML and systems work at OpenAI, Anthropic, Microsoft Research, ByteDance, and Adobe. Comfortable moving between research and production, he has contributed to real-time algorithms, payments systems, and algorithmic research teams. Based in San Francisco, he brings a rare combination of competitive programming roots and formal academic depth, having taught algorithms as a TA early in his career. Notably, his trajectory shows rapid transitions into high-impact research roles, indicating strong research productivity and adaptability. He is equally at home prototyping novel models and engineering them toward deployable systems.
11 years of coding experience
Master's degree Computer Science, Master's degree Computer Science at University of Washington
Doctor of Philosophy - PhD EECS, Doctor of Philosophy - PhD EECS at Massachusetts Institute of Technology
High School Competitive programming, High School Competitive programming at Chengdu NO.7 High School 成都市第七中学
Contributions:8 PRs, 57 pushes, 2 branches in 19 days
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