I build AI agents and RAG assistants that work on your own documents, data and tools, and that hold up in production, not just in a demo.

What you get

An agent or chat assistant connected to your docs, database or APIs

Retrieval with reranking, so answers are grounded in your sources

Actions and tool calls (search, CRM, email, internal APIs)

Evaluations and monitoring, so you can see accuracy and cost

Clean code in your repo, plus docs and a handover call

Why me: I was Head of AI at Rivery through its acquisition by Boomi, where I built multi-stage document indexing, reranking and LLM evaluation pipelines. I also run a multi-agent system in production for my own platform, WriteinaClick.

How it works: we agree on scope and a fixed price, you see a working demo early, and we iterate on real questions from your users.