I'm an MSc Artificial Intelligence student at the University of Sheffield, with an undergraduate background in computer science from Queen's University Belfast. My focus is applied machine learning — particularly NLP, language technologies, and scalable ML systems on real distributed compute.

I prefer building end-to-end systems over isolated notebooks. My recent work covers distributed PySpark pipelines on a 20-million-record dataset, a zero-shot LLM event-extraction baseline running on A100 GPUs, retrieval-augmented question answering with proper evaluation, and rigorous classical-ML benchmarking on speech features.

I care about technical judgement more than tool worship. My instinct is to ask: what's the cheapest experiment that tells us whether this idea works? Then run it, look at the results honestly, and write up the failure modes as clearly as the wins.

I'm currently looking at Machine Learning Engineer, Data Scientist, and Data Engineer roles in the UK from October 2026. I have a UK Graduate Visa lined up, so no sponsorship is needed for two years post-graduation.

The fastest way to reach me is by email, or through LinkedIn.