I spent 10+ years in customer-facing roles learning what people actually need. Now I build AI tools that deliver it — and I'm heading into Technical Support / Solutions Engineering at AI-native companies.
📍 London · 🏆 "Smoothest Demo" winner, ZOE Women in Tech Hackathon 2026
| Project | What it does | Stack |
|---|---|---|
| EndoHer 🏆 | AI health advocate for endometriosis — symptom timeline, clinical mapping, GP-ready record. Live → | React/TS, Supabase, Claude |
| Lagomy | Snap a supplement label → structured log with sourced UK evidence → GP-ready PDF | Python, CrewAI, Claude vision |
| Maai | Multilingual three-agent pipeline turning lived symptom language into clinician-ready records. Demo → | Python, LangGraph, Claude |
| Sērēnum | Weather-aware skincare agent with evidence-cited advice and spoken briefs. Demo → | Python, Chainlit, ElevenLabs |
A pattern you might notice: AI for health advocacy — tools that never diagnose, but help people be heard properly.
Fashion design → a decade of high-volume support and escalations at goop, Papier, and the National Portrait Gallery (Zendesk, 50+ tickets/day, cross-functional engineering feedback) → front-end bootcamp → Codecademy's 12-week Agentic AI Applications Bootcamp (Python, FastAPI, LangGraph, RAG pipelines, Anthropic API).
The through-line: translating between users and systems. Support taught me to hear what people mean; building taught me to ship what they need.
Anthropic API & Claude Fundamentals · Google Cybersecurity Professional Certificate · MIT Trustworthy AI · Postman API Fundamentals · Harvey Academy AI for Legal Basics
LinkedIn — always happy to talk AI support tooling, agentic pipelines, or non-linear careers.