RAG Pipelines
Embeddings, retrieval with confidence scoring, citation surfacing. pgvector, LangChain, FastAPI. Served as REST API or embedded widget.
RAG systems, AI agents, and predictive models that ship to real users.
Embeddings, retrieval with confidence scoring, citation surfacing. pgvector, LangChain, FastAPI. Served as REST API or embedded widget.
Multi-agent orchestration via CrewAI. MCP servers connecting agents to SQL databases, internal APIs, and documentation repos, not toy chains.
Classification, regression, and anomaly detection using CatBoost, XGBoost, LightGBM, and ensembles. Benchmarked against your baseline, not just cross-validated in a notebook.
Structured JSON extraction from scanned PDFs. Azure Document Intelligence or in-house GLM-OCR depending on cost/accuracy tradeoffs.
Production ML features shipped inside CompuCal's regulated calibration-management platform. RAG over internal documentation, OCR pipelines for scanned certificates, predictive-maintenance models, and MCP servers giving AI agents real database access.
3rd place at the Google Hackathon. A map-based platform that helps communities identify and revive neglected public spaces, with AI-assisted categorisation of user-submitted reports.
Combines FinBERT sentiment extraction from financial news with gradient-boosted price-movement models. Benchmarked against a naive baseline with walk-forward validation rather than random splits.
Multi-agent orchestration built on CrewAI. Agents coordinate research, planning, and execution steps with tool access to external APIs rather than isolated prompt chains.
I work async-first and document as I go. Paid 2-hour scoping call before any engagement over 20 hours so we both know the scope is real. Fixed-price for well-defined deliverables, hourly for open-ended exploration. Based in Cork, Ireland, EU business hours with meaningful overlap for US east-coast mornings.