Summary
Raghav Garg is a software engineer with 9 years of experience, currently a Member of Technical Staff in Palo Alto after roles at Inflection AI and early-career research and engineering positions at Stanford and Lawrence Livermore National Laboratory. He holds both a BS and MS in Computer Science from Stanford and has taught graduate courses in deep learning and big data systems, bridging research and production AI work. His background spans computational biology, research software engineering, and applied ML, giving him a strong interdisciplinary edge when shipping systems that link models to real-world data. Colleagues would note he pairs rigorous academic training with pragmatic product-focused engineering and a persistent curiosity—evident from frequent transitions between labs, teaching, and industry AI teams.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University