About Vyoma
Vyoma Gajjar has spent 11+ years building AI systems inside enterprises that ship, not just pilot. At Galileo AI she led deployment of GenAI evaluation and observability infrastructure for Fortune 50 clients, scaling agentic pipelines to 10M+ traces/day with production SLOs. At IBM (9+ years) she architected AI solutions across healthcare, finance, and retail, with deployments that saved clients $120M in operational costs.
Earlier: Satellite data analysis at NASA, ML research at Samsung Labs. She teaches enterprise AI through UCLA, MIT Sloan, and UT Austin executive programs, and has published peer-reviewed research on AI governance and agentic systems.
She reviews and judges for IEEE and EAAI, and is mentor, scout for early-stage AI startups.
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