I started in 2016 building a farm-management app for Irish agricultural businesses. It taught me the only lesson that stuck: technology matters when it solves a real problem, and not before.
10 years on, the problems are harder — multi-LLM architectures, real-time voice AI, HIPAA-compliant healthcare systems — but the bar is the same: ship software people actually use.
I've worked both sides. I've written production code for systems serving 100K+ users. I've also built engineering teams from scratch, hired 20+ engineers, and put in processes that cut bug rates 35–45%. I know what good code looks like, and what it takes to ship it on a schedule.
Right now I'm most interested in AI that does more than demo well — investor-intelligence platforms, medical diagnostics, voice interfaces that hold up in production. Building something in that space? Tell me about it.
The highlight reel
Want to work together?
I'm open to engineering leadership roles, AI architecture consulting, and interesting technical challenges.