Jason Chin is a software engineer at Google with 10 years of experience building and optimizing exabyte-scale data infrastructure. He holds a rare triple major in Computer Science, Statistics, and Data Science from UC Berkeley with top grades, and applies that blend to drive measurable cost and performance improvements across Google's Artus columnar file format. Jason has led projects that automated file-format encoding/layout optimizations, reduced writer CPU/RAM, and benchmarked regulatory impacts—collectively saving millions and improving query latency for large-scale analytics. He moves between hands-on systems implementation and roadmap leadership, designing benchmarks, prototyping encodings, and coordinating efficiency initiatives. Based in Mountain View, he brings both deep systems rigor and data-driven decision-making to storage and query engine problems. An interesting detail: early in his career he built tooling from code-generation for SDKs to recommendation-system pipelines, showing a breadth that spans low-level storage to product-facing developer tools.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Statistics, Data Science, 4.0 (Major GPA), Bachelor's degree, Computer Science, Statistics, Data Science, 4.0 (Major GPA) at University of California, Berkeley
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Contributions:1 release, 67 commits, 128 PRs in 3 years 7 months
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