Sunny Gakhar is a software engineer with 11 years of experience specializing in big data analytics, distributed systems, and query optimization, currently contributing at Google in Seattle. He has a strong track record at Microsoft improving COSMOS query performance through automated partitioning/sorting recommendations and integrating approximate algorithms like TDigest and HyperLogLog, work that appeared in VLDB 2022. Prior roles include research-focused engineering at Jane Street and multiple internships building compilers and query generators for Microsoft's big data platforms. Sunny combines practical production impact—pipelines that directly improved customer query performance—with academic rigor from a Computer Science degree at Carnegie Mellon and teaching experience in algorithms and introductory CS. A detail that sets him apart is his repeated focus on automating optimizer decisions and pipelines that bridge data science insights with query engine implementation.
11 years of coding experience
5 years of employment as a software developer
High School, High School at Modern School
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Carnegie Mellon University
Contributions:66 commits, 45 pushes, 3 branches in 1 month
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