William Zhao is a software engineer with 8 years of experience building production machine learning systems, currently applying ML to improve Google Search Ads quality in New York. He combines academic rigor from MIT (PhD) and Fudan (BS in Engineering Physics) with hands-on industry experience across Google, Microsoft research, and early-stage security entrepreneurship. His background spans NLP research, quantitative modeling for trading, and founding a network security startup focused on penetration testing and web vulnerabilities. William is an attentive back-end contributor to the widely used ICU project, where he has focused on code quality, compiler warning fixes, and platform-specific improvements like Windows time zone detection. That mix of production ML, low-level C/C++ maintenance, and security-first thinking gives him a rare ability to span from research prototypes to robust, maintainable systems. He’s comfortable navigating both large-company engineering processes and the rapid iteration culture of startups.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering at Massachusetts Institute of Technology
Bachelor of Science - BS, Engineering Physics, Bachelor of Science - BS, Engineering Physics at Fudan University
Contributions:11 commits, 3 PRs, 2 pushes in 1 year 2 months
Contributions summary:William primarily focused on fixing compiler warnings and addressing code issues within the ICU4C library. Their contributions involved correcting cast warnings, resolving unreferenced variable warnings, and ensuring code correctness. They also reverted some changes and merged warning cleanup fixes, demonstrating a focus on code quality and stability. Furthermore, the user has been working on improvements related to the Windows time zone detection and user locale.
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