I architect production-grade AI systems — autonomous agents, RAG pipelines and multi-LLM orchestration — and ship them end-to-end: FastAPI backends, vector search, Docker fleets and CI/CD.
I build AI systems that survive contact with the real world. At Adeptia I architected LLM-directed platforms for data mapping and knowledge retrieval — RAG chatbots over 10,000+ enterprise documents, rule engines processing 50,000+ records a day, and FastAPI services answering in under 200ms at peak load.
Now I'm building Vignova — a full-stack AI career platform with autonomous job-application agents and a hybrid orchestration layer across three LLM providers — while pursuing my MSc in Artificial Intelligence at the National College of Ireland, Dublin.
My obsession: the gap between an impressive demo and a system you can trust — cost routing, hallucination control, observability and uptime.
A full-stack AI SaaS (Next.js + FastAPI + PostgreSQL + Docker) architected and shipped solo — resume generation, job tracking and fully automated applications across 4 core modules and 6 containerised services.
DeepSeek (Ollama), Gemini & Sarvam with intelligent model routing — API costs down 45%.
Cost / latency / quality routing across 3 providers; RAG lifted ATS match scores 30% in A/B tests.
Job scraping, one-click resume tailoring and auto-apply across major job portals.
Docker Compose fleet behind an Nginx reverse proxy, sustained in production.
GitHub Actions pipelines cut release cycles from 30 minutes to under 5.
Resume generation, job tracking, tailoring and automated applications — one platform.
Open to AI Engineer, ML Engineer and Gen-AI roles in Dublin and across Ireland — on-site, hybrid or remote.