Who I Am

Software & AI Engineer focused on building systems that solve real problems.

I'm interested in systems that solve hard problems: how do you make AI explainable? How do you build planning intelligence for regulated environments? How do you scale production ML at enterprise?

I've explored these through building a startup (Frensei), contributing to enterprise ML platforms (Red Hat), and researching explainability methods for graph neural networks. The work teaches you what matters: reliability, clarity, and systems that actually work in production.

Experience Timeline

  1. Co-Founder · Eireplan

    Building next-generation planning intelligence platform for Ireland.

    StartupsAI/MLGovTech
    Co-Founder · Eireplan logo
  2. AI & ML Engineer Intern · Red Hat Trusted AI

    Rewrote trustyAI service in Python, exposed core NLP metrics (BLEU, ROUGE, Levenshtein) via API, built drift detection using Jensen-Shannon divergence. Ran Python and robotics workshops.

    Enterprise MLPythonAPI DesignTestingOpen Source
    AI & ML Engineer Intern · Red Hat Trusted AI logo
  3. CTO & Co-Founder · Frensei

    Built AI planning platform for regulated environments. Won awards including ISEF finalist, Enterprise Ireland New Frontiers. Signed pilots in multiple countries.

    LeadershipAI/MLSystems ArchitectureGo-to-Market
    CTO & Co-Founder · Frensei logo
  4. Applied Maths & Computer Science Teacher · Educating Éire

    Taught senior cycle computing and applied maths. Built on 2,000+ hours of freelance tutoring across secondary, undergraduate, and professional levels.

    Concurrent with Frensei

    EducationMentoringTeaching
    Applied Maths & Computer Science Teacher · Educating Éire logo
  5. Cybersecurity Consultant Internship · Ernst & Young

    Penetration testing and cyber campaign management. Contributed to EY Sustainability Challenge and Open Science innovation initiatives.

    SecurityConsultingPenetration Testing
    Cybersecurity Consultant Internship · Ernst & Young logo

Education

BSc (Hons) Computing with ML & AI

TU Dublin

September 2022 – August 2026

GPA: 3.7

Thesis: Explainable Graph Neural Networks for financial crime detection. Comparing explainability methods (SHAP, LIME, GNNExplainer) on cryptocurrency transaction datasets.

GNNsExplainabilityFinancial Crime Detection
TU Dublin logo

Recognitions & Awards

ISEF Finalist & Podium

ISEF

2024

ISEF finalist podium placement, $5,000 award

ISEF logo

Enterprise Ireland New Frontiers

Enterprise Ireland

2021–2025

Phase 2 funding for Frensei through New Frontiers programme

Enterprise Ireland logo

Huawei Seeds for the Future

Huawei

2023

Selected for global leadership development programme

Huawei logo

Udacity Deep Learning Nanodegree

Udacity

2023

Completed 6-month deep learning certification

Udacity logo