CV

Elsewhen

Leading development of an agentic RAG system for a Big Six advertising agency that translates natural-language queries into complex audience segments. Redesigned a monolithic prompt architecture into a modular pipeline, cutting query latency by 50%+ and eliminating context-overflow failures.

glass.ai

Established the ML research function, directing technical strategy for glass.ai's company classification and discovery platform. Delivered AI-powered projects independently for UK Government departments, the European Commission, and the Australian Government.

glass.ai

Built core NLP and ML pipelines for constructing targeted company datasets from large-scale web-crawled data. Researched novel classification paradigms including PU-Learning with GAN-inspired architectures, and preference-based approaches using DPO-style loss functions.

JPMorgan Chase

Progressed from intern to full-time software engineer. Modernised CI pipelines with Jenkins & Groovy and built real-time interactive trading dashboards with kdb+ and Grafana for eTrading stakeholders.

University of Exeter

Distinction (84%). MSc thesis on electoral prediction from Twitter data for the 2019 UK general election, supervised by Hywel Williams. Awarded the MSc Award for highest departmental performance and the Dean’s Commendation.

University of Exeter

First Class Honours. Programming, data structures, algorithms, probability, and computer vision.

Durham Sixth Form Centre

A*A*A*AA - Mathematics, Further Mathematics, Physics, Computer Science, and an Extended Project Qualification.