About
My work sits at the intersection of cybersecurity, system architecture, and technical problem-solving. I focus on understanding systems deeply before shaping how they should be built.
In addition to systems architecture, I lecture in artificial intelligence and machine learning. This allows me to approach problems not just from a traditional engineering perspective, but from a data-driven and adaptive systems viewpoint.
I explore how intelligent systems can be integrated into real-world applications to enhance decision-making and automation.
I consider how systems can evolve based on data, feedback loops, and user behaviour.
I help teams think about how AI capabilities may shape their systems over time.
I approach systems by breaking them down into constraints, behaviours, and risks. From there, I construct solutions that are not just functional, but resilient, scalable, and secure by design.
I generate ideas by analysing real-world inefficiencies and translating them into technical solutions.
I identify structural weaknesses in systems before they manifest in production.
I design solutions that align with real engineering constraints, not just theory.
My experience spans industry and academia, with a strong focus on building and analysing backend systems.
Designed and delivered a patented passwordless onboarding system using blockchain smart contracts across US, EU, and Ireland.
Lecturer in Cybersecurity and Web Technologies, guiding students in real-world system design and emerging technologies.
10+ years working with Node.js, Express, and MySQL in production systems.