Lokesh Prakash Manohar
AI Product Lead | Agentic AI & RAG for Google, YouTube & Schneider Electric | Ex-PayPal, Microsoft consultant | IEEE Author
San Francisco, California, United States
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Lokesh is an AI Product Lead who takes agentic AI systems from architecture to production for Fortune 500 enterprises. He works at the intersection of product and engineering — designing solution architectures, prototyping hands-on, and guiding engineering teams from design through delivery. His recent work includes a multi-agent self-service analytics platform for YouTube marketing, Insights Automation Platform for Google Brand team, and a knowledge graph diagnostic methodology that treats RAG answer-quality failures as a supervised attribution problem using gradient-boosted models and SHAP.
He writes on applied AI architecture and economics, with publications in IEEE, Unite.ai, DZone, and HackerNoon. He co-leads the Research Triangle chapter of The AI Collective.
Lokesh holds an M.Eng. from Cornell University. Earlier in his career, he built ML and data products at PayPal and LendingTree, and consulted for Microsoft and WPP Group on analytics for brands including Subway and Botox.
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