Summary
Kasturi-rangan Raghavan is a Staff Software Engineer and TLM based in the San Francisco Bay Area with 14 years of experience building high-impact systems at Waymo and Google. He specializes in motion planning, trajectory scoring, and applied machine learning for autonomous vehicles, recently focusing on emergency-vehicle and lane-closure scenarios. Comfortable in small teams tackling open-ended problems, he iterates rapidly with prototypes and Python notebooks and champions informed software design and well-tested implementations. His background in search quality and “strings to things” at Google gives him a strong foundation in feature engineering and data-driven decision making. He holds BS and MS degrees in Computer Science from UCLA and brings a pragmatic, experiment-first approach to turning ambiguous requirements into reliable production systems.
14 years of coding experience
University of California, Los Angeles