Summary
Gagan Shetty is a Senior Full Stack Engineer based in San Jose with 10 years of experience building web UIs, APIs, and ML-driven features across finance, research, and startup environments. Currently at Clover, he blends production-grade full stack engineering with hands-on ML experience developed during internships and grad research at the University of Colorado Boulder. His background includes a multi-year tenure at JPMorgan where he progressed from intern to associate engineer, demonstrating strong delivery and system ownership in large-scale environments. Gagan’s work spans front-end interfaces to backend services and applied ML—he has built predictive models for healthcare claims and Parkinson’s detection and contributed UI/API solutions for cognitive science research. He is pragmatic about refactoring and iteration (“Code, refactor, repeat”) and focuses on bridging research prototypes to maintainable production systems. With a high academic record and a mix of enterprise and research experience, he brings both rigor and curiosity to complex engineering problems.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, 9.26, Bachelor of Engineering - BE, Computer Science, 9.26 at Ramaiah Institute Of Technology
Master of Science - MS, Computer Science, 4, Master of Science - MS, Computer Science, 4 at University of Colorado Boulder