With extensive years(14+) of experience in AI and Data Science, I have led the development and productization of ML products and most recently last two years in GenAI innovation in Pharma, Retail. 

Grad studies in Statistics and ML from Cornell, NY. 

As Director of Data Science & AI Products, I conceived, architected and envisioned an Omnichannel Marketing Product for the world’s largest retailer, focusing on LLM-driven innovations in Conversational Recommender Systems using Multi-Agent Systems and RL (Adaptive Bandits) for n=1 level of personalization. Think new age CDP, but with Agents and decision Making built in. 

Introduced the vision, strategy that became a strong Company wide initiative all the way to Walmart US CRO. 

Previously, I was the first Director of Data Science at AstraZeneca, leading AI initiatives in oncology and patient biomarker prediction where I led a team from 0 (first hire) to 20 people in 2 years and launched Agentic RAG driven medical chatbot saving $3MM/yr in one use case and a GenAI content tagging pipeline directly embedded within content management system. 

I also worked as a Research Data Science Lead at Facebook, built out the Network Data Science Team, a first of its kind at Facebook, and my team’s work in AI for data center operations was featured in TechCrunch (https://techcrunch.com/2022/06/18/microsoft-and-meta-join-google-in-using-ai-to-help-run-their-data-centers/)