Summary
Daniel Zhang is a Co-Founder and applied ML engineer with ~4 years of experience building agentic AI systems, RAG pipelines, and Web3-native products. A Durham graduate in Physics and Computer Science, he has shipped production-facing customer support RAGs, medical imaging research, AI agents that interact with real systems, and NFT-based ticketing with fiat/crypto UX. He blends research rigour—having implemented state-of-the-art knowledge tracing models and reinforcement learning features on large education datasets—with hands-on product work at early-stage startups. Particularly interested in AI infrastructure and agentic systems, he focuses on turning cutting-edge ML into reliable, real-world products across healthcare, crypto, and knowledge retrieval. Off the clock he’s a classically trained pianist and former competitive tennis player, a background that informs his disciplined, creative approach to problem solving.
4 years of coding experience
1 year of employment as a software developer
Physics and Computer Science, Physics and Computer Science at Durham University
GCSE, GCSE at Royal Russell School
A-level, A-level at Hurtwood house