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ronanbarrell/README.md

Ronan Barrell

Applied AI Engineer with 15+ months of commercial experience building and deploying production AI systems.

I specialise in LLM applications, agentic workflows, retrieval-augmented generation, AI automation and production API development.

View my portfolio and case studies →

Core technologies

  • Python, FastAPI, Pydantic and asynchronous Python
  • LLM applications, agents, tool calling and structured outputs
  • RAG, embeddings, reranking and vector search
  • SQL, Azure SQL and guarded text-to-SQL
  • TypeScript, React and REST API integrations
  • Azure App Service, GitHub Actions and CI/CD

Featured projects

Central Brain

A multi-tenant AI business platform that combined company knowledge, persistent memory and authorised business tools in one conversational workspace. I led the technical implementation across the backend, agent orchestration, retrieval, memory, integrations and streaming frontend.

Read the case study →

Multi-Agent Cognition Sandbox

A guardrailed simulation where LLM-controlled agents perceive a tile-based environment, reason about goals and execute validated actions through structured tool calls.

Public repository in preparation.

Personal Finance Intelligence

A local-first FastAPI application that categorises UK transactions and provides deterministic financial analytics with guarded AI-powered text-to-SQL.

Public repository in preparation.

Contact

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