Applied AI strategy and delivery
Prioritising opportunities, shaping delivery plans, and moving AI work from concept to deployed capability.
Applied AI leader turning complex challenges into deployed systems.
I bridge strategy, product, stakeholder leadership, and technical depth to deliver decision-support systems, enterprise AI products, and scalable delivery capability across healthcare and other complex environments.
Proof strip
- Regulated healthcare AI delivery
- Genomics NLP to FHIR pipeline
- Enterprise RAG / LLM delivery
- Clinical ML with interpretability
How I can help
Clinical and regulated AI
Supporting high-stakes environments where interpretability, governance, interoperability, and adoption matter.
AI product and RAG delivery
Leading enterprise AI products including retrieval-augmented systems, operational controls, and delivery into real workflows.
Cross-functional AI leadership
Aligning domain experts, product leads, data scientists, engineers, and decision-makers around outcomes.
Evidence highlights
Roche / GOSH applied AI leadership
Led multiple AI workstreams in a regulated paediatric setting across clinicians, technical teams, product leads, and decision-makers.
Genomics NLP pipeline
Built a pathway from PDF reports to FHIR mapping and clinician dashboard integration, with an 80% reduction in manual review time.
Clinical ML with interpretability
Co-led CKD progression modelling with XGBoost as the best model at F1 0.72 and ROC AUC 0.80.
Enterprise RAG / LLM product
Delivered an enterprise assistant with governance and traceability requirements for approximately 1,500 users.
Operational analytics products
Delivered Cancer Wait Times automation and an MS prescribing analytics app to improve repeatability and operational use.
Best fit opportunities
- Applied AI Lead
- Head of AI
- AI Solutions Lead
- Clinical AI Lead
- Principal / Lead Data Scientist
- AI product or platform leadership roles with strong delivery scope
- Advisory or specialist leadership support for complex AI programmes
Machine-readable summary
- Who I am: Applied AI leader focused on turning complex challenges into deployed systems.
- What I do: I bridge strategy, product, stakeholder leadership, and technical depth.
- Sectors: Healthcare, enterprise AI, operational analytics, decision-support.
- Typical problems: deployment, adoption, governance, interoperability, interpretability, and cross-functional delivery.
Let’s discuss the right fit
I am open to conversations about senior applied AI roles, advisory work, speaking, and high-impact delivery programmes.