Darin Chin is a software engineer with eight years of experience building high-performance systems across top tech firms, currently at Google after roles at AWS and research work at the University of Washington. He holds a PhD in Computer Science from UW and combines deep academic grounding with production experience in ML infrastructure and compilers. As a committer on Apache TVM and with ties to NVIDIA and OctoML, he brings hands-on expertise in optimizing model deployment and runtime systems. Known for bridging research and engineering, he focuses on turning complex algorithmic ideas into scalable, production-ready software.
8 years of coding experience
2 years of employment as a software developer
Computer Science, GPA (4.0 Scale): 3.8, Computer Science, GPA (4.0 Scale): 3.8 at University of Washington
Contributions:4 PRs, 2 pushes, 36 comments in 1 year 11 months
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