Sasha Nanda is a product manager at NVIDIA’s Omniverse Applied Research team with three years of experience building AI-driven products that bridge research and production. She led the launch of USD Code NIM, a large-language-model-powered tool that answers OpenUSD queries and generates USD-Python code, and authored NVIDIA’s Generative AI for Digital Twins workflow guide. With a background in data science and quantum research—from Deloitte analytics and HBO Max retention work to quantum residencies at X and NASA—she combines deep technical fluency with product leadership. A Stanford MBA and Caltech physicist, she has a rare blend of formal business training and hands-on research pedigree that helps translate cutting-edge algorithms into usable developer tools. An understated strength is her track record of shipping end-to-end ML infrastructure and governance at scale, not just models.
3 years of coding experience
2 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at Stanford University Graduate School of Business
California Institute of Technology
Master of Science - MS, Applied Computing (Data Science conc.), Master of Science - MS, Applied Computing (Data Science conc.) at University of Toronto
This is the NVIDIA RTX Remix Runtime Bridge repository
Contributions:1 tag, 1 comment, 1 issue in 10 months
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