I’m a product builder working across AI, healthtech, and analytics. I’m most interested in products that turn complex data into practical decisions, especially where personalisation, behaviour change, and real-world constraints matter.

AI × Healthcare × Behaviour Change = Personalised health insights

My background spans analytics, population health, and prototyping AI-powered products. I like building tools that reduce friction, improve decision-making, and make data more useful to end users.

• 🏋️‍♂️ Whoop Data — A wearable data product exploring how raw health signals can be turned into more personalised, actionable feedback. Not just showing users data but providing actionable insight through adaptable scientifically grounded proactive nduges.
• 📺 Worth A Watch — A video triage tool that helps users quickly decide what’s worth watching by combining metadata extraction and LLM-based summarisation.
• 🧬 SangerTools — An R package for scalable population health analytics in NHS settings, reflecting my background in healthcare data products and applied analytics.

My typical LLM product workflow moves from rough thinking to shipped execution:

Notion → Warp → Linear → Warp → DONE

• Notion for shaping ideas, product thinking, and early requirements
• Warp for prototyping, coding, and working with AI-assisted development workflows
• Linear for turning ideas into scoped, actionable work

I’m especially interested in workflows that make it easier to go from concept to MVP quickly, while keeping product thinking close to execution.