Senior AI Engineer | 8+ yrs Python, production RAG & LangGraph systems, cloud-native infra | Ex-investment banking/fintech | MSc AI, Queen Mary
AI Engineer specialising in agentic systems and RAG infrastructure, backed by 8+ years of production Python engineering in regulated environments (investment banking, financial services). Currently completing an MSc in Artificial Intelligence at Queen Mary University of London. I design multi-agent LangGraph systems with tool-use routing, inter-agent state and MCP server integration — one of my projects exposes agents directly to Claude Code and Cursor. I've built hybrid BM25 + semantic RAG pipelines with RAGAS-based evaluation, and shipped an NHS-scale recruitment platform combining a RAG chatbot, CV verification via Computer Vision, and LLM-based interview summarisation — with human-in-the-loop review and privacy-by-design guardrails throughout. What sets my AI work apart is the production mindset behind it: guardrails, evaluation, auditability and data governance, not just prototypes. I've spent a career shipping systems into regulated, high-stakes environments — now I bring that same rigor to agentic AI and LLM-integrated applications.
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