Summary
Janhavi Giri is a Principal Architect and Field CTO based in San Jose who specializes in turning AI and data infrastructure into deployable systems for semiconductor manufacturing, with an 8-year track record bridging EDA, fab operations, and applied ML. She focuses on the often-overlooked data layer—storage, access, and movement—as the gating factor for practical AI impact on yield, cycle time, and cost, and she builds agentic systems that close the loop between data, models, and decisions. At NetApp she leads industry-facing strategy and cross-functional teams to accelerate time-to-market, while previously at Intel she moved image-clustering and TDA/Explainable ML efforts from prototype to multi-fab production. An IEEE Industry Distinguished Lecturer, she communicates complex technical advances to industry stakeholders and drives ecosystem engagement with EDA vendors. Trained in applied mathematics and AI with a PhD-level background, she combines deep modeling expertise with hands-on deployment experience—often choosing pragmatic external AI tools to speed delivery and conserve engineering hours. Notably, her career spans both foundational nonlinear dynamics research and productionized ML in high-stakes manufacturing environments, giving her rare fluency from theory to fab floor.
7 years of coding experience
2 years of employment as a software developer
Artificial Intelligence Professional Program Artificial Intelligence, Artificial Intelligence Professional Program Artificial Intelligence at Stanford University School of Engineering
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at University of Illinois Chicago
Master of Science - MS Physics, Master of Science - MS Physics at Mohanlal Sukhadia University
Master of Science - MS Applied Mathematics, Master of Science - MS Applied Mathematics at University of Bristol