About

I lead applied AI programmes that need more than strong models. My work connects strategy, product choices, technical architecture, delivery discipline, and stakeholder adoption.

Healthcare is the strongest proof point in my experience, especially in clinically meaningful decision support, genomics NLP workflows, interoperability, and deployment planning in regulated environments.

I also work across broader enterprise problems including compliance-focused LLM/RAG systems, analytics products, and workflow automation.

What I bring

Technical judgment with delivery focus

Hands-on understanding of NLP, ML, interoperability, and GenAI combined with practical decisions about reliability, integration, and adoption.

Leadership across disciplines

Alignment of clinical/domain experts, product owners, engineers, analysts, and leadership stakeholders around shared outcomes.

High-stakes operating context

Experience where regulation, safety, legacy systems, and governance are central—not edge cases.