Eoin McLoughlin — Portfolio

About

Machine Learning Engineer
I train advanced Time Series and Computer Vision models to solve complex real-world problems.
Software Developer
I build reliable software systems that host these models and integrate them into practical applications.
Frontend Developer
I design and develop dashboards that let users interact with the models and explore their results intuitively.

Education

B.Sc. in Computer Applications & Software Engineering

DCU | Dublin City University

2016 – 2020

First Class Honours (1.1)GPA: 4.5

Final-year project: computer vision & pose estimation (details below).

M.Sc. in Advanced Artificial Intelligence

UCD | University College Dublin

2025 – Present

In Progress

Currently attending; focus on advanced ML & model optimisation.

Experience

Python

PyTorch

TensorFlow

Git

SQL

AWS

MongoDB

JavaScript

React

HTML

CSS

CUDA

Java

Figma

Computer Vision Engineer, MoveAhead
Jun, 2022 - Sept, 2025
- Conceptualised and developed movement assessment pipelines that achieve over 95% accuracy when compared to gold standard human evaluation techniques & current Motion capture systems leveraging Numpy & Pandas
- Created production grade object detection models tailored to hardware constraints ensuring optimal performance across different devices and systems
- Led client meetings to gather requirements, discuss needs and collaborate on feature development to ensure alignment with business objectives
- Built & maintained frontend applications using Android Studio, React & C#
- Developed internal analytics & visualisation tools deployed on AWS using Matplotlib & Seaborn to provide actionable insights
- Contributed to the design of a scalable backend database architecture combining Amazon S3 and MongoDB for optimised data storage and retrieval
- Facilitated the development of LSTM models for accurate movement identification and classification
- Helped raise the valuation of this 8 person company to +€10 million
Research Assistant, Dublin City University
Jun, 2020 - Jul, 2022
- Designed and implemented testing framework for evaluating open source pose estimation models based on accuracy, efficiency & compatibility with on edge devices.
- Conducted exploratory data analysis to design and implement a proprietary biomechanical signal processing Python library adopted as a standard tool across the organization.
- Developed scalable and efficient data extraction and cleaning pipelines using Pythons SciPy & Pandas libraries to optimise processing workflows.
ICT Executive Officer, Revenue Comission
Apr, 2019 - Oct, 2019
- Delivered proof of concept that the existing proprietary backend system could be refactored into a set of optimized SQL queries accessed via a Hadoop cluster
- Created interactive dashboard using R’s ShinyDashboard library to effectively visualise and present query results for improved decision making
SWE Intern, Ircona
Mar, 2016 - Jul, 2016
- Worked on component library
- Verify contents of component database

Projects