Applied AI strategy and delivery
Shaping AI opportunities into executable roadmaps, delivery plans, and deployed capability across product, data, and technical workstreams.
Applied AI leader delivering production-grade systems in complex and regulated environments.
PhD in AI · Roche / GOSH · KPMG / Accenture · 10+ years · Clinical AI, NLP, RAG, decision systems
I lead high-impact AI, data, and digital initiatives from problem framing through deployment, combining hands-on technical depth with senior stakeholder leadership. My experience spans healthcare, enterprise, consulting, and public sector environments, including major programmes at Roche, GOSH, KPMG, and Accenture.
How I can help
Clinical and regulated AI
Leading AI initiatives in environments where interpretability, governance, interoperability, and adoption are business-critical.
AI product and RAG delivery
Delivering AI products and retrieval-enabled systems that are designed for real workflows, operational controls, and measurable utility.
Cross-functional AI leadership
Aligning clinicians, domain experts, product leads, engineers, data scientists, and senior stakeholders around delivery and outcomes.
Evidence highlights
Roche / GOSH applied AI leadership
Led multiple AI workstreams in a high-profile NHS partnership spanning clinical use cases, data infrastructure, interoperability, and stakeholder alignment across technical teams and senior decision-makers.
Genomics NLP pipeline
Architected an end-to-end pipeline extracting genomic variants from unstructured PDFs, mapping outputs to FHIR and feeding a clinician-facing dashboard, cutting manual review time by 80%.
Clinical ML with interpretability
Co-led CKD progression modelling and deployment planning in a trusted research environment, with XGBoost performing best at F1 0.72 and ROC AUC 0.80, supported by SHAP for clinician interpretability.
Enterprise RAG / LLM product
Architected and shipped an enterprise compliance-focused assistant with governance, traceability, and source attribution requirements, targeted at approximately 1,500 internal users.
Commercial consulting delivery
Earlier career delivery across KPMG and Accenture included cloud ML, stakeholder leadership, proposal shaping, and a telecom uplift modelling solution that increased digital channel usage by 26% and reduced inbound calls by about 1.5 million.
Representative experience spans clinical ML, genomics NLP, interoperability, enterprise RAG, operational analytics, and AI delivery across regulated and enterprise environments.
Where I'm strongest
- Senior applied AI leadership roles where strategy, technical direction, and delivery need to come together
- Clinical or regulated AI programmes where trust, interpretability, and adoption matter
- AI product and platform roles with strong ownership across roadmap, delivery, and stakeholders
- Advisory or transformation work where organisations need to move beyond AI experimentation into real implementation
Who I help and what I solve
- Who I am: An applied AI leader focused on turning complex opportunities into deployed systems.
- What I do: I combine strategy, product thinking, technical depth, and delivery leadership.
- Where I work best: Regulated healthcare, enterprise AI, operational analytics, and decision-support environments.
- What I solve: Delivery friction, adoption barriers, governance constraints, interoperability challenges, and cross-functional execution.
Why organisations bring me in
- when AI needs to move beyond proof of concept
- when delivery depends on aligning technical and non-technical stakeholders
- when trust, governance, interoperability, or interpretability matter
- when product, platform, and model decisions need to work together
- when organisations need both technical credibility and delivery leadership
Let’s discuss the right fit
I am open to conversations about senior applied AI leadership roles, advisory work, selected speaking opportunities, and high-impact delivery programmes.