Professional Overview
🌍 Bridging sustainability and AI innovation: With dual expertise in chemical engineering and AI/ML (MSc ’24), I have a passion for cloud architecture and A.I & ML ecosystems to generate automation solutions that advance sustainable goals. Holding certifications in Azure Data Science and AWS architecture, I’ve deployed scalable data lakes for lifecycle analysis and automated industrial workflows using Python and NLP tools. At Johnson & Johnson, I reduced production downtime by 15% via IoT-driven process monitoring, while my academic research demonstrated how an optimized use of different energy sources in Ireland's public transport with a focus of incorporating biofuels could help Ireland reach Ireland's sustainable development goals of 2030. Certified in Google Data Analytics and Agile methodologies, I thrive in remote teams, turning complex datasets into actionable strategies. My dream is through collaboration lets transform sustainable ambitions into automated realities.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
