I build and ship AI systems inside hedge funds and buy-side firms — agentic workflows, research copilots, and production pipelines that survive contact with a trading floor. 15+ years across Credit Suisse, Elliott, LMR Partners.
A focused 4–6 week engagement to design, prototype and ship a production-ready AI system inside your firm. Research copilots, earnings pipelines, reconciliation agents, risk workflows.
A structured audit of your existing AI initiatives — evaluation rigour, hallucination containment, security posture, production readiness. Delivered as a written assessment with prioritised recommendations.
Ongoing advisory retainers or one-off expert sessions. I help teams navigate vendor selection, build-vs-buy decisions, and the specific failure modes of LLMs in regulated environments.
A small selection of recent projects. Production systems at previous employers are described at the boundary of what I can share publicly.
Co-founder and CTO of a SaaS club management platform. Designed the full stack end-to-end — auth, membership, bookings, billing — and took it from sketch to paying customers while holding a day job.
A multi-stage agentic pipeline that ingests earnings calls and SEC filings, extracts structured facts, and produces analyst-grade briefs. Built with rigorous evaluation — 75/75 facts verified, zero hallucinations.
Led development of real-time risk and P&L systems at LMR Partners and Elliott Management. VaR engines, OMS integration, Pre/Post-trade processing and Compliance workflows, distributed compute — the unglamorous infrastructure that keeps a multi-billion dollar fund running.
I write about building AI systems for serious production environments — financial services in particular, but the principles travel. Evaluation discipline, architecture patterns, and the gap between LLM demos and systems that actually hold.
I've spent my career at the intersection of engineering and financial markets — building the systems that price, manage risk, and reconcile real capital at serious firms.
My thesis for this decade is simple: AI is about to reshape how the buy-side works, but only where it's built with the same rigour we apply to any other production system. That's the work I want to do, and the bar I hold myself to.
I'm based in London, BEng Computing from Imperial College. Outside work I play squash, and drink more specialty coffee than is probably advisable.
If you're leading an AI initiative at a hedge fund, buy-side firm or applied-AI company — or weighing whether to start one — I'd like to hear about it. The best fit is usually a 30-minute conversation first.