I'm a product-focused builder working at the intersection of AI, healthtech, and analytics. I love using large language models to create useful tools and insights — especially where data, user experience, and real-world constraints meet. My background spans data, population health analytics, and prototyping AI-powered products.
- 🏠 Home Tools – an LLM-powered assistant that helps me plan my day and interpret wearable data using tool-calling and structured reasoning.
- 📺 Worth A Watch – a YouTube summariser that leverages Gemini and metadata extraction to highlight and summarize high-quality videos.
- 🏋️♂️ Whoop Data – data extraction and modeling of wearable device data. Currently evolving into a full-stack product with a FastAPI backend, database storage, and personalised insights.
- 📊 Py-Looker-Tools – Python tools for managing Looker metadata and jobs. Built to streamline BI workflows.
- 🧬 SangerTools – R package for scalable population health analytics within the NHS.
- 📦 MLDataR – R package of curated datasets for healthcare machine learning projects.
- Transforming
whoop-datainto a full-stack platform with FastAPI, PostgreSQL, and React - Adding LLM-powered features like feedback loops and recovery predictions
- Learning CI/CD, testing frameworks, and better repo hygiene to grow as a product engineer
