Ankush Desai is a Principal Research Scientist specializing in applying formal methods, fuzzing, and systematic testing to make Data and AI systems reliable and trustworthy. With a PhD from UC Berkeley and nine years of industry experience at AWS and Snowflake, he has led teams that built production-grade tools for model checking, scalable fuzzing, property-based testing, and runtime monitoring of distributed systems. He created and continues to lead the P programming framework, translating academic verification techniques into developer-facing tooling that improves correctness across design, testing, and production. Prior work includes driving Amazon S3’s Strong Consistency project and early research at Microsoft Research and SRI, showing a consistent focus on eliminating critical distributed-systems bugs. Based in San Jose, he combines deep research pedigree with hands-on engineering and a hobbyist interest in hardware, evidenced earlier by leading the onboard-computers team for India’s first nanosatellite, Jugnu.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Contributions:2 pushes, 1 branch in 1 year 11 months
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Ankush Desai - Principal Research Scientist at Snowflake