Summary
Nikhil Sarda is a Machine Learning Engineer in San Francisco with 15 years of experience building large-scale, high-impact systems across Google and startups. He led development of consumer-facing apps powered by large language models and built SmartChoices, a contextual bandits and RL decisioning system deployed across Google products like YouTube CDN, ML compilers, Commerce, Workspace, and ads. His background spans cloud telemetry and IAM at Google Cloud, full-stack web work at Mattermark, and academic research in software systems from Columbia University. Comfortable bridging research and production, he repeatedly ships ML-driven infrastructure that moves from prototype to widespread deployment. Now at SuperDial, he continues to focus on scalable ML systems with practical product impact. A mathematically grounded engineer (IIT Kharagpur; MS Columbia), he blends rigorous modeling with pragmatic engineering to solve real-world decision problems.
15 years of coding experience
13 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Columbia University
Master of Science Mathematics and Computing, Master of Science Mathematics and Computing at Indian Institute of Technology, Kharagpur
St. James School