Tapan Srivastava is a final-year Ph.D. student at the University of Chicago with a decade of engineering experience focused on making cloud-hosted data more useful and cost-effective. His research develops systems and metrics to optimize SQL workloads across multiple cloud databases and to quantify the value organizations derive from their data. He brings practical production experience from internships at Uber ATG—where he built and deployed Go and Thrift services—and a research internship building a scheduling simulator for a composable data lakehouse presented at CDMS. Comfortable at the intersection of systems research and real-world deployment, he combines rigorous academic methods with hands-on engineering for scalable, cost-aware data management. Based in Chicago, he also has a strong foundation in math and CS from UChicago and a history of contributing to research software and tooling.
9 years of coding experience
2 years of employment as a software developer
High School, High School at The Overlake School
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at University of Chicago
Contributions:1 release, 1 commit, 4 pushes in 1 day
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