MSc Student · AI & Machine Learning
Building across web development, machine learning, and systems - from evolved game strategies to full-stack apps and deep learning.
About
Computer systems graduate and MSc student with hands-on experience across web development, machine learning, and low-level systems.
I recently completed my BSc in Computer Systems at the University of Limerick, graduating with First Class Honours. My undergraduate work spanned full-stack web development, architecture design, SRS development, software testing, compiler construction, artificial intelligence, machine learning, deep learning, evolutionary algorithms, and more including a final-year project on evolving game-playing strategies with Grammatical Evolution.
I'm now pursuing an MSc in Artificial Intelligence and Machine Learning at UL, deepening my work in data-driven systems while continuing to build practical software - from neural networks and computer vision to modern web applications.
I'm especially interested in the intersection of intelligent systems and real-world software: building things that are technically rigorous, well engineered, and useful.
Work
Selected work from my undergraduate studies and personal projects - spanning AI, web development, systems, and 3D design.
BSc final-year project using Grammatical Evolution (GRAPE) to evolve draughts-playing strategies as grammar-constrained symbolic expressions, with a custom game engine, evaluation pipeline, and Flask web app for human vs. evolved play.
Evolved strategies reached up to 94.7% win rate against a random baseline on 8×8 draughts under a fixed multi-seed evaluation protocol.
Full-stack party-planning marketplace connecting customers and service providers - with separate dashboards, booking flows, messaging, reviews, and admin tooling. Built for CS4116 Software Engineering.
Lexer and parser for the JIBUC language using Flex and Bison, with structural analysis and semantic checks. Built for CS4158 with gcc and Make.
Image segmentation with a VGG16-based U-Net on the Oxford-IIIT Pet Dataset. Built for CS4287 Neural Computing - training, evaluation, and analysis in Jupyter.
Real-time quiz platform built with a microservice architecture for CS4297 - API gateway, auth (Google OAuth + JWT), quiz management, WebSocket realtime service, and a React frontend, containerised with Docker Compose.
Data mining project on the Spotify tracks2026 dataset - exploratory analysis, k-means and DBSCAN clustering, and predictive modelling with scikit-learn pipelines for classification and regression on track popularity. Built for CS4168.
Deep Q-Network implementation for Atari Pong using Gymnasium and the Arcade Learning Environment. CS4287 Neural Computing project - training, evaluation, and gameplay analysis in Jupyter.
Detailed 3D model of the US Capitol building created in Autodesk 3ds Max as a modelling and visualisation project.
Contact
Open to interesting projects, collaborations, and conversations. The best way to reach me is by email.
Have a project in mind or just want to say hello?