Engineering · Strategy · Impact
AI Engineer and strategist building AI systems that are practical, reliable, and responsible.
I'm a Data Scientist and AI practitioner based in Dublin, with a background in machine learning, intelligent applications, and data-driven problem solving.
My work focuses on building practical AI systems that are useful beyond the demo — from NLP and retrieval-based applications to agentic workflows, evaluation, and real-world implementation trade-offs.
Alongside my technical work, I care deeply about AI education and community. Through speaking, workshops, mentoring, and Women in AI initiatives, I help make AI concepts more accessible, practical, and grounded in real use cases.
I'm especially interested in the gap between what models can do and what it takes to build reliable systems around them.
I create content that bridges the gap between AI research and real-world practice. From deep dives on evaluation frameworks to breakdowns of landmark papers, my channel is built for practitioners who want substance over hype.
Subscribe on YouTube →A series breaking down how to evaluate AI systems with rigour and real-world relevance.
Accessible walkthroughs of key AI research papers — including Amazon's Insight Agents and more.
Honest journeys through building AI products and systems, from architecture decisions to launch.
I'm open to conversations around AI roles, speaking opportunities, workshops, collaborations, and community initiatives.