Binh Vo is a Senior Software Engineer based in New York with eight years of industry experience and a strong research background in compression, storage, privacy, and anonymity. He has driven production gains at major tech companies—designing entropy and context-based compression tools at Google, building scalable ad systems and experiment platforms at Amazon, and delivering algorithms at Meta that promise ~20% storage savings for Ads data. At Meta and as a contributor to the widely used facebook/zstd project, he’s fixed decompression bugs, improved performance and cross-platform builds, and refined testing and documentation for a real-time compression algorithm. Comfortable moving between deep research and production engineering, he’s known for blending principled analysis (e.g., entropy-based diagnostics) with pragmatic system design and operational monitoring.
8 years of coding experience
12 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Massachusetts Institute of Technology
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Columbia University
Contributions:21 reviews, 17 commits, 43 PRs in 8 months
Contributions summary:Binh primarily focused on bug fixes, particularly addressing errors in the decompression process. They were also involved in performance improvements, as demonstrated by the reduction in the size of the dctx by reutilizing the dst buffer. Additional contributions included improving the build process for different operating systems, clarifying documentation, and making adjustments to the test suite.
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