Daniel Fat

AI Architect at Beazley

I’m an AI Architect who loves turning messy, real‑world problems into elegant, scalable systems. Day to day, that means designing retrieval‑augmented pipelines, tuning LLM inference at scale, and weaving knowledge graphs into products so they actually think with context. Outside work, you’ll usually find me driving out to a National Trust place, sketching a new system diagram over coffee, or tinkering with side‑projects that blend graph theory with NLP. Credentials-wise, I’m TOGAF‑certified with a BSc and MSc in Computer Science, but what really drives me is building tools that feel fast, useful, and a little bit magical.