Saumil Shah is a Technical Program Manager based in San Jose with a long career focused on delivering AI-powered products and large-scale ML launches. He led program management for Amazon’s AGI Nova family and Alexa NLU before moving to Google Home, demonstrating deep experience bridging research, product, and delivery for foundational models and consumer AI. His background includes data science and NLP research at UIUC with published work on social effects and morality, giving him a research-informed approach to product decisions. Saumil pairs formal training in data science and product management (UIUC, Cornell) with hands-on analytics and monitoring roles across enterprise and retail domains. Fluent in cross-functional leadership, he has repeatedly shipped multi-model launches and built compliance and testing frameworks for global teams. An interesting personal note: his GitHub bio hints at cultural roots and a vegetarian identity, reflecting a concise, globally-minded persona.
56 years of coding experience
8 years of employment as a software developer
Product Management, Product Management at Cornell University
Masters of Science in Information Management Data Science, Masters of Science in Information Management Data Science at University of Illinois Urbana-Champaign
Bachelor of Engineering (B.E.) Electronics and Telecommunication, Bachelor of Engineering (B.E.) Electronics and Telecommunication at Dwarkadas J. Sanghvi College of Engineering
Contributions:26 pushes, 1 branch in 2 years 5 months
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Saumil Shah - Technical Program Manager, Google Home