LLM App & AI Agent Development (RAG, Tools, Guardrails)

I build production-grade LLM applications and AI agents that do real work inside your business, not flashy demos that fall apart the moment a real user touches them. Using LangChain and LlamaIndex, I design retrieval-augmented generation over your own documents, so the model answers from your knowledge base instead of making things up. I connect it to your systems through tool-using agents that query a database, call your API, search a catalogue or trigger a workflow, all behind clear boundaries you control.

My focus is reliability. Every project ships with an evaluation harness that measures answer quality on your real questions, plus guardrails that catch prompt injection, off-topic requests and hallucinated facts before they reach a customer. I tune chunking, embeddings and retrieval until the answers are grounded, and add tracing so you can see why the agent chose an action. A typical engagement starts with a short discovery call, then a working prototype, then hardening for production with tests and documentation.

— RAG over your documents with source citations
— Tool-using and multi-step workflow agents
— Evaluation, guardrails and prompt-injection defense
— Integration with your database, API and tools