Final year Computing Science student at the University of Glasgow with a passion for clean, efficient code. Experienced building full-stack applications end-to-end, from marketplaces to ML research pipelines.
Work
A selection of things I've built - each a different problem, a different stack.
Uber-style marketplace connecting homeowners with local tradespeople. Real-time job broadcasts via websockets, per-job messaging threads, role-based dashboards, and a mutual ratings system.
Farm-to-door delivery platform on the MEAN stack. Role-based accounts, product browsing, basket management, and postcode-based delivery routing to connect local farms directly with customers.
Evaluated CNN generalisation on visual object counting across 7 architectures, 40+ model runs, and 21,000 synthetic images. A custom U-Net outperformed a pretrained ResNet-18, challenging assumptions about transfer learning in low-data settings.
Toolkit
Languages, frameworks, and tools I work with regularly.
Background
BSc (Hons) Computing Science
Graduating June 2026. Final year dissertation - Counting Beyond the Training Range - investigated CNN generalisation on visual object counting, benchmarking 7 architectures across 40+ runs on 21,000 synthetic images.
Relevant Modules
Say Hello
Open to internships, graduate roles, and interesting projects - my inbox is always open.