Summary
Yao Liang is a Software Development Engineer II based in Sunnyvale with a decade of experience building production software and applied ML systems, currently focusing on privacy-preserving machine learning at AWS. A UC Berkeley Computer Science & Data Science graduate with a 3.9 GPA, he has blended strong academic fundamentals with hands-on roles across Adobe, Microsoft, Tencent, and research labs at Berkeley. Yao brings practical experience from internships to full-time engineering roles, shipping features and experiments in both cloud and product environments. He has a track record of working at scale on data- and privacy-sensitive problems and is comfortable bridging research ideas to deployable systems. Notably, his profile hints at concise, utility-focused tooling (GitHub bio: vip.com), suggesting a pragmatic approach to engineering and collaboration.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science & Data Science, 3.9, Bachelor's degree, Computer Science & Data Science, 3.9 at University of California, Berkeley
Chinese, English