CV

Profile

A hardworking and curious person who genuinely enjoys figuring things out and learning new skills, especially when it comes to data analysis and machine learning. Completed an undergraduate degree in Software Systems Development and is currently finishing an MSc in Mathematical Modelling & Machine Learning, which will be completed in August 2026. Machine learning is a real passion, and one of the main reasons for pursuing the MSc was to learn as much as possible in the field. Always motivated to explore new concepts, take on challenges, and keep developing both technical skills and understanding, and is excited to begin a career in a machine learning role where there is always something new to learn.

Education

MSc Mathematical Modelling & Machine Learning

September 2025 to August 2026 at University College Cork, Cork, Ireland

Exploring the mathematical foundations of machine learning, including dynamical systems, optimisation, numerical analysis, and complex networks. Core modules: Deep Learning, Neural Networks, Engineering Machine Learning Solutions, Nonlinear Dynamics, Numerical Methods, and Scientific Computing.

BSc (Hons) Software Systems Development

September 2021 to May 2025 at South East Technological University, Waterford, Ireland

Graduated with First Class Honours (1.1). Served as Class Representative for all four years. Core modules: Website Development, Computer Networks, Database Design (SQL, NoSQL), Automated Cloud Services, Application Security.

Experience

Software Engineer Intern at Dataworks Ltd.

July 2023 to December 2023 at Dataworks Ltd., Waterford, Ireland

Developed an in-house change control system using .NET and TypeScript as part of a collaborative development team. Designed and implemented RESTful APIs and database schemas to support change tracking and approval workflows. Wrote unit and integration tests to ensure code quality and system reliability. Participated in agile development processes including sprint planning, daily stand-ups, and code reviews.

Retail Associate at Eurospar

May 2017 to October 2025 at Eurospar, Waterford, Ireland

Managed inventory control and merchandise ordering, maintaining optimal stock levels across departments. Trained and mentored new staff members on store procedures and customer service standards. Balanced part-time work with full-time education, demonstrating strong time management and commitment.

Projects

Neonatal EEG Seizure Classification

January 2026 to May 2026 — Scikit-learn, Jupyter Lab, EEGlib, MLFlow

Used EEG data recorded from 79 term neonates admitted to the NICU at Helsinki University Hospital. Compared feature types including Frequency Features, Time Domain Features, and Entropy based features. After final evaluation the model was deployed within a Docker cloud environment for inference.

System for Detection of Alzheimer's Disease using Deep Learning

January 2024 to May 2025 — PyTorch, MONAI, Python, Azure/AWS, React, Docker

Conducted comparative research on deep learning architectures (ResNet, DenseNet, SENet) and MRI voxel dimensions for Alzheimer's disease classification. Developed a cloud-based web application enabling medical professionals to upload MRI scans and receive automated diagnostic predictions. Implemented end-to-end ML pipeline including model training, deployment, and inference API.

Honours & Awards

SunLife Academic Enterprise Award — May 2025, awarded in the Enterprise Category for demonstrating strong initiative and high-impact academic work.
Charitable and Sustainable Thinking Award — May 2025, DCH Consulting. Awarded for a standout final-year project demonstrating significant original research in an important societal domain.

Skills

Languages

Python
C / C++ / C#
JavaScript
TypeScript
Kotlin
SQL
R
LaTeX

ML / AI

PyTorch
TensorFlow
Scikit-learn
XGBoost
AWS SageMaker
NumPy
Pandas
JAX
MONAI
Keras

Web & Databases

React
Node.js
RESTful APIs
Streamlit
SQLite
Firebase
SQL Server
MongoDB

Cloud & Tools

AWS
Docker
Git
Linux
Power BI
RStudio
Jupyter
Android Studio