I’m a Forward Deployed AI Engineer — I build AI systems that production teams actually ship. My work sits where the code meets the customer: embedding with teams, scoping the real problem, and carrying LLM architectures, RAG pipelines, and agentic workflows all the way to production. My background is unusual by design: I came into AI through business and operations, not purely engineering. That shaped how I think — before models, before architecture, before tooling, the real question is always, “what decision are we improving?”

At Frensei (ClawbackVault AI), I designed a three-stage email intelligence pipeline that cut LLM token spend by 80–90% per broker while meeting CASA Tier 2 and Google OAuth Restricted Scope compliance, and built a four-tier signal-detection engine on Claude Sonnet that classifies 15+ behavioural categories with tiered confidence scoring and full audit trails. I partner directly with the CEO on product strategy, pricing architecture, and go-to-market — and built and led a 15-person cross-functional team. Before that, at IndiGo — one of the world’s largest airlines — I led ML-driven optimisation across a 300+ aircraft fleet, delivering ~20% operational cost savings.

I’m completing an MSc in Business Analytics at UCD Michael Smurfit (graduating 2026) while building production AI full-time, with formal AI & ML training from IIT Kanpur. I author open-source Python packages on PyPI — hallucimap, finfeatures, fraudguard — write on AI and strategy, host two podcasts, and am open to Founding AI Engineer, Applied AI Engineer, Forward Deployed Engineer, and AI consulting roles in Ireland, Europe, and globally.