Supawit Chockchowwat is a researcher-engineer specializing in database and information systems, machine learning, and distributed systems with nine years of experience spanning academia and industry. Currently a Visiting Faculty Researcher at Google, he focuses on database efficiency and large-scale technical infrastructure, building on multiple internships at Google that targeted query processing, AlloyDB, and cloud data analytics. His PhD work at UIUC under Prof. Yongjoo Park and prior research at UT Austin reflect a strong foundation in systems research paired with practical engineering. Supawit has a consistent track record of impactful internships across top tech companies (Google, Facebook, Uber, Robinhood) where he tackled data shuffle, location-aware distribution, and BI/data platforms. Based in the San Francisco Bay Area, he blends rigorous academic training with production-focused system optimization—an engineer who moves research ideas into scalable infrastructure. An often-overlooked strength is his breadth: from teaching data structures to shipping core database features, he comfortably spans pedagogy, research, and production engineering.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Turing Scholars Computer Science, Major GPA: 3.91, Cumulative GPA: 3.70, Bachelor of Science (BS), Turing Scholars Computer Science, Major GPA: 3.91, Cumulative GPA: 3.70 at The University of Texas at Austin
Contributions:3 commits, 11 pushes, 2 branches in 5 months
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Supawit Chockchowwat - Visiting Faculty Researcher at Google