Summary
Varun Vasudevan is a Senior Data Scientist in Palo Alto with eight years of experience applying machine learning and computational methods to healthcare and social good. He holds a PhD in Computational and Mathematical Engineering from Stanford and brings deep expertise in embeddings, large language model–based controlled text generation, and scalable model evaluation from his current role at Walmart Global Tech. Prior research roles at Stanford Medicine and long-standing teaching and research experience at Purdue and IISc reflect his ability to bridge rigorous academic research with production engineering. Varun designs production-ready customer embeddings at scale while also building evaluation frameworks for LLM generation—an uncommon blend of recommendation systems and generative AI practice. Based in the Bay Area, he combines a strong theoretical background in linear algebra and optimization with hands-on systems work, enabling measurable product impact in large enterprise settings. Colleagues describe him as a methodical problem-solver who translates complex models into accountable, real-world solutions.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (BEng), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (BEng), Electrical, Electronics and Communications Engineering at B. M. S. College of Engineering
MES PU College
Master of Science (M.Sc.), Electrical and Computer Engineering (Research areas: Linear Algebra and Optimization), Master of Science (M.Sc.), Electrical and Computer Engineering (Research areas: Linear Algebra and Optimization) at Purdue University
Doctor of Philosophy (PhD), Computational and Mathematical Engineering, Doctor of Philosophy (PhD), Computational and Mathematical Engineering at Stanford University
Kannada, Tamil, Malayalam, Hindi, English