Currently at Saadian Technologies in Dublin, working on a prison notification platform used by police forces across the UK and US. The work spans the full stack — building data pipelines and Elasticsearch-backed search, stabilising the application, and designing and shipping new features and enhancements that help forces do their jobs more effectively. It's the kind of work where the end result genuinely matters: safer communities and fewer things falling through the cracks.

In the evenings I'm working through Designing Data-Intensive Applications — focused on system design, distributed consensus, and replication. Alongside that, I'm keeping close tabs on the AI and ML space: reading about agentic workflows, LLM infrastructure (inference serving, context windows, retrieval-augmented generation), and how reasoning models are changing what "software" even means. Tools like Claude Code, Cursor, and the broader shift to agent-native development feel like they're reshaping the job in real time — I find that genuinely exciting rather than alarming.

I follow the intersection of AI and distributed systems closely — model serving at scale, vector databases, streaming pipelines feeding ML features, the economics of GPU clusters. When I'm not reading, I'm on the tennis court.

Looking to connect with teams working on large-scale distributed systems, data infrastructure, search, or applied AI.