I stopped using AI and started building with it
- from spec to shipped
6+ years in product and design across insurance, fintech and banking. I take an idea from research through design to a working product in days, with AI infused into every step.
A curious, tech-savvy product manager with 4+ years in regulated, high-stakes industries. My path went from finance and audit at PwC through UX/UI design to product, so I look at a product from the business side as much as from the user's. Outside work I love picking up new tools and growing in every direction - Hyrox, golf, via ferrata, qigong.
I've worked hands-on in every step, from the business case to a shipped product.
Hands-on, every day: rapid prototyping and vibe coding, prompt engineering and testing, LLM evals and AI workflow automation - with Claude and n8n.
Claude Certified Associate - Foundations, Anthropic · 2026
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A workout tracker made exactly my way: concept, design, testing and iteration, then vibe coding it into a working app.
Built a quality check for my own AI news digest. It caught a hidden bug that was making the summaries drop key facts.
Designed and iteratively tested the prompts powering an AI-driven risk-commentary engine that analyzes historical claims trends and generates recommendations; handed to engineering for implementation.
I spotted the opportunity, designed it, built it in n8n, and wrote and tuned its prompt over several iterations. Currently in active development on the front end.
Designed the UX and Figma prototype for an AI assistant that extracts and compares insurer proposals into a clear comparison table with a recommended offer.
Contributed to a legal AI tool and virtual assistant built on LLMs - planning, key features, and scoring answer quality against the client's historical responses.
From design prototype to a live site on my own domain, vibe coded and shipped. You're looking at the proof right now.
I designed and vibe coded my own iPhone workout app, with a first version ready in two days.
Built around the way I actually train, and still in use every week.
I built a test to check my daily AI news summaries, and it found a bug.
The summaries were missing key facts, and the test showed me why.