Summary
Gautham Kesineni is a Staff Software Engineer in the San Francisco Bay Area with 12 years of experience building large-scale, production ML and payments systems. He has driven ML throughput and quality initiatives across Google DeepMind and Google’s AthenaML, and previously led Payments and Commerce engineering at YouTube. His background includes core backend platform work at Amazon (Key) and early leadership co-founding ML@Berkeley, where he secured industry partnerships and bridged academia with applied ML consulting. Gautham blends systems-level engineering with ML infrastructure expertise, repeatedly delivering scalable, compliant services for high-throughput environments. Collected internship experience across startups and gaming/consumer platforms gave him a practical full-stack grounding that complements his CS/EE degree from UC Berkeley. He’s comfortable translating research-grade ML problems into robust, auditable production systems.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Electrical Engineering and Computer Science, Bachelor of Science (BS), Electrical Engineering and Computer Science at University of California, Berkeley
English, Telugu, Spanish