Lead Data & AI Engineer
I build AI systems that raise the ceiling for the teams around them.
I build production data systems and AI-enabled products end to end - from ingestion, modelling, and orchestration through to deployment, monitoring, and user-facing delivery. I've led work on data platforms, forecasting and recommendation systems, internal decision tools, and LLM-powered features, with a particular strength in turning messy, fragmented business processes into reliable systems that teams can actually use.
I'm strongest as a first or second AI hire: someone who can own evals, deployment, monitoring, and the data layer end-to-end, and who's done it enough times to know where the real problems are. After years of contract work, I'm looking for a permanent role where I can shape direction and own product arcs, not just deliver.
Selected Work
Automated Intelligence Platform
Recruitment intelligence - LLM summarisation, trend detection, human-in-the-loop
Designed and built a platform ingesting ~100 sources daily, with an LLM layer for extracting insights, clustering via embeddings, and drafting summary reports. Surfaced industry signals that weren't being tracked by any existing channel. End-to-end from sourcing through to draft generation in under ten minutes.
Data Platform Turnaround
DTC food - AWS/Redshift, dbt, Looker, cross-functional alignment
Inherited a fragmented and unreliable data estate during leadership churn. Restructured the platform, modularised the codebase so BI analysts could contribute safely, and cut reporting time by 75%. The real work was alignment - getting BI, finance, and data into the same room and agreeing on what mattered.
Ad Mediation Optimiser
Ad tech - contextual bandits, online learning, 500M events/day
Built an ad mediation system using contextual bandits and supervised learning, serving 500 million events per day. Included offline and online evaluation, automated fallbacks, and the kind of production guardrails you need when a model decision happens at that frequency.
Contact