Shreyash Nigam is a founder and CEO based in San Francisco with seven years of software engineering experience, blending product work at Google with cross-disciplinary research and startup engineering. He has driven high-impact infrastructure and ML projects at companies like Uber and HBO—automating server remediation to cut failed-zone recovery from two weeks to under 24 hours and building a self-learning subtitle verifier covering 150+ languages. His academic work at the University of Washington includes developing Tisane, a DSL for authoring statistical models and validating inferences, and ML research on peptide-function prediction. As a lead teaching assistant he helped build auto-graders, testing frameworks, instructional videos and interactive coding playgrounds, showing a knack for tooling and teaching. He combines backend, data and ML expertise with product instincts to move research into reliable production systems.
7 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Washington
CBSE Physics Chemistry Mathematics Computer Science English, CBSE Physics Chemistry Mathematics Computer Science English at Step By Step World School
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