Quang Vo is a software engineer with a decade of hands-on experience and a recent role at Google based in San Jose. He has a strong performance focus, demonstrated by a CUDA-based GPU compression and multi-threaded Zstd implementation that sped radiation treatment data handling by up to 20x. His background spans backend rendering optimizations, automated UI/API testing, and practical experimentation with adaptable LLMs for commercial use. A track record of internships and student roles shows he moves comfortably between research-proof-of-concept work and production-focused engineering. Quang combines systems-level optimization skills with emerging AI tooling experience, making him effective at tackling both low-level performance bottlenecks and higher-level automation challenges. He studied at The College of Wooster and brings a pragmatic, multidisciplinary approach to building reliable, high-performance software.
Contributions:7 PRs, 6 pushes, 6 branches in 2 years 6 months
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