Win Wang is a founder and systems engineer focused on making datacenter compute faster and cheaper with minimal changes to deployment. With nine years of experience across startups and large engineering organizations, he led distributed compilation, semantic tooling, and build-performance improvements at Twitter that halved costs while doubling throughput. He builds data-parallel systems and GPU-accelerated language tooling—work he continued as a Recurse Center Recurser where he developed a Hindley-Milner typechecker with GPU support. Now leading ParaQuery (YC X25), he’s applying those compiler and GPGPU insights to scale data processing from gigabytes to petabytes. A physics-trained programmer with interests in quantum computation and functional compilers, he blends research curiosity with pragmatic engineering to ship measurable performance gains. Based in the NYC area, he’s equally at home prototyping in Haskell or optimizing large Scala codebases.
9 years of coding experience
6 years of employment as a software developer
Y Combinator
Computer Science Physics Math, Computer Science Physics Math at Vanderbilt University
Contributions:30 commits, 28 pushes, 1 branch in 1 month
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