Enterprise AI Platforms
Building scalable, enterprise-grade platforms with LLMs, RAG, and MCP-based architectures — with observability built in from day one.
Head of AI & Data Science at Digit Insurance, with 20+ years scaling enterprise AI across insurance and healthcare. I work across the full AI lifecycle — identifying high-impact opportunities, then architecting LLM-powered, RAG-driven, and agentic systems that ship in production at scale.

Where I spend my thinking — at the intersection of enterprise scale and frontier AI.
Building scalable, enterprise-grade platforms with LLMs, RAG, and MCP-based architectures — with observability built in from day one.
Applying LLMs and Gen AI to real-world problems across customer experience, risk decisioning, and operational efficiency.
Architecting multi-agent systems and Voice AI pipelines for real-time decisioning and scalable customer engagement.
Driving AI adoption across core business functions, partnering with leadership to translate priorities into shipped products.
A selection of recent keynotes, panels, and fireside conversations on enterprise AI.
The organisations that win the next decade won’t be the ones with the biggest models — they’ll be the ones who turn intelligence into trust, embedded in every place a customer or employee touches them.