At Philips, I lead Philips AI Chat, a multi-agent enterprise AI platform serving roughly 70,000 employees globally. I’ve grown the platform to about 30K MAU and 6K DAU, with projected annual business impact of approximately $15M.
I own product vision, roadmap, and delivery across RAG search, multi-document chat, IT self-service, image generation, deep research, and an internal agent marketplace. I also shipped Langfuse observability and LLM-as-a-Judge evaluation workflows for continuous GenAI quality measurement.
Previously, I built AI/ML and GenAI products at Interview Kickstart, Coca-Cola Bottlers Japan, and AB InBev, including an NLP SKU matching product that reduced processing time from one week to about 15 minutes. My work has spanned learning platforms, contract intelligence, forecasting, procurement optimization, and enterprise knowledge retrieval.
I’m a builder PM who prototypes with vibe coding tools, runs SQL for analytics, and ships design specs directly to engineering. Earlier analytics and data science work at Titan, L&T Financial Services, and Hansa Cequity delivered measurable revenue, segmentation, and propensity-model outcomes.
