Pranesh Srinivasan is an engineer with 18 years of experience building high-throughput, production-grade systems across search, AI, and finance, currently at Meta after a long tenure at Google. He led grounding and factuality efforts for large-scale LLM deployments—founding a cross-product grounding tech effort that serves hundreds of thousands of QPS and improved accuracy and factuality for Gemini and other products. Earlier work spans transformer-first search ranking, low-latency NN serving, and stochastic program-trading strategies at Goldman Sachs, reflecting strong breadth from research to latency-sensitive infrastructure. Based in the Bay Area, he combines systems thinking (“systems eat outcomes”) with a continual learning mindset and a track record of turning research into deployed gains across Google Research, Search, and commercial AI products.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.