I am a data and AI engineer focused on delivering machine learning solutions that balance technical rigour with practical deployment. I hold an MSc in Artificial Intelligence and Machine Learning from the University of Limerick and have applied my skills across cloud platforms including AWS, Azure, and GCP. My project work includes developing a defect detection pipeline on AWS Lambda, training deep reinforcement learning agents for Atari, and building a chatbot with LLaMA-2 in Colab.
Professionally, I have optimised production quality at Johnson & Johnson using statistical process control and automated KPI reporting at Uganda’s Directorate of Industrial Training using Python and SQL. These experiences have given me a practical understanding of how data pipelines and AI systems operate in real-world settings. I am motivated to advance into mid-level AI/ML roles where I can design, deploy, and optimise machine learning systems.
Skills
Experience Level
Language
Work Experience
Education
Qualifications
Industry Experience
Built reinforcement learning agents for Ms. Pac-Man using the OpenAI Gym environment. Started with a baseline Deep Q-Network (DQN) and extended it with Double DQN, Upper Confidence Bound (UCB) exploration, and a dueling architecture. Systematically tuned hyperparameters and replay buffer strategies to stabilise training. The best-performing agent, the agent with UCB plus the dueling architecture achieved the highest episodic scores and outperformed the baseline vanilla DQN baseline. Beyond raw scores the different techniques produced agents with different behaviours, by studying these differences I was able to tune the agents in order to improve performance.
Designed and deployed a serverless AI pipeline on AWS to automate visual inspection of manufacturing parts. Trained a convolutional neural network in Python to detect surface defects, containerised the model with Docker, and deployed on AWS Lambda with Step Functions for orchestration. Results were logged in DynamoDB and S3 with annotated images, and system performance monitored through CloudWatch. Achieved over 70% classification accuracy and validated deployment on industrial Mini-PC hardware.
Hire a AI Engineer
We have the best ai engineer experts on Twine. Hire a ai engineer in Limerick today.