Implemented and analysed performance of fraud detection models on large-scale, real-time systems
Developed data engineering solutions for expansive time series data and iterated on model features based on insights from this data engineering and model outputs
Research Intern
ADAPT Center
Designed and trained state of the art Graph Neural Network and Deep Neural Network models in the field of education research
Performed research into various machine learning methods for personalized learning curricula for students
Collaborated with industry leaders in education research to perform feature engineering and used ablation testing to analyse these features in our models
Reinforcement Learning Team Lead
Formula Trinity
Led a team of student researchers in designing and implementing reinforcement learning based systems for autonomous vehicles as part of Formula Student competitions
Ran workshops for beginners and experienced researchers alike on topics such as multi-armed bandits, reinforcement learning, deep learning which included both theoretical basis for the topics as well as code to implement any algorithms
Software Engineer Intern
Virtu Financial
Introduced optimizations into low level C++ code based on data analysis to improve latency into critical high frequency trading systems
Analysed performance using statistical testing and computing baselines for control
Student Researcher
Robotics and Innovation Lab
Developed novel computer vision techniques for autonomous and teleoperated robots
Implemented stochastic algorithms for pathfinding and mapping in complex environments
Education
MSc Computer Science
Trinity College Dublin
Distinction
Thesis on Reinforcement Learning with LLMs for Automated Theorem Proving. Supervised by
.