About Me
I'm a CTO and Chief AI Officer with a track record of turning technology into measurable commercial value. I've scaled engineering organisations from founding team to 70+ engineers, led AI‑first platform transformations across clinical trials, telehealth, and digital health, and supported four funding rounds and two successful exits.
My most recent operating role was CTO at TRI — Triumph Research Intelligence — where I spent 14 months building regulated RBQM software for clinical trials sponsors and CROs. That work gave me a direct and specific view of where data management friction lives in the trial lifecycle: the manual configuration burden, the site‑level data entry problem, and the gap between where the pain is felt and where procurement decisions are made.
My work sits at the intersection of deep technical leadership and business strategy — building the governance frameworks, regulatory compliance, and AI capabilities that PE/VC‑backed companies need to scale with confidence. I currently advise a portfolio of stealth‑mode startups across HealthTech, BioPharma, and AI, while pursuing my next senior leadership opportunity.
Currently
Consulting across a portfolio of stealth‑mode startups in HealthTech, BioPharma, and AI — including a Johns Hopkins BioPharma spinout and two UK clinical and primary care platforms — advising on AI architecture, fundraising strategy, and regulatory readiness.
Open to CTO and Chief AI Officer roles at PE/VC‑backed scale‑ups in regulated industries. Particularly interested in companies navigating AI transformation, regulatory complexity, or preparing for exit — where technical leadership directly shapes commercial outcomes.
How I Work
I believe technical credibility isn't something a CTO can delegate. Not because CTOs should be writing production code, they shouldn't, but because the decisions that matter most require you to have genuinely wrestled with the technology, not just read about it.
In practice, that means I spend time every week experimenting with emerging tools and building proof-of-concepts — evaluating AI development environments, prototyping RAG pipelines, exploring agentic workflows, or stress-testing a new architectural approach before committing engineering resources to it.
This isn't about staying busy technically. It's about being able to walk into an architecture conversation, a board presentation, or a vendor negotiation and speak from direct experience rather than secondhand reports.
It also means my engineering teams know I understand the constraints they're working within. That trust changes the quality of every conversation.
Notable Achievements
Built and scaled the NHS telehealth and COVID vaccine booking platforms, serving over 8 million patients at peak demand.
Led AI strategy and engineering transformation at TRI, architecting LLM and ML integration into a regulated clinical trials platform.
Led AI governance framework implementation and gap analysis at two healthcare organisations, establishing responsible AI practices for clinical and regulated environments.
Achieved multiple regulatory certifications across clinical trials, telehealth, and medical device software — enabling enterprise NHS and international contract wins. ISO 27001 | MHRA | GCP | FDA