I will build a custom ai agent or multi agent system

I design and build AI agents that actually do work not just chat. Using LangGraph for orchestration, RAG pipelines for grounded answers, and tool-calling so agents can act on real data, I build systems that plan, search, verify, and complete multi-step tasks.

Recent build: a 24-agent research orchestration system that reduced multi-step query resolution to under 90 seconds (p95), improved accuracy 40% over a single-agent baseline, and hit 90%+ citation precision all while keeping inference cost under $0.50 per query through tiered LLM routing and prompt caching.

What I work with:

LangChain / LangGraph, RAG pipelines, Chroma vector DB, tool-calling, FastAPI, LiteLLM (multi-provider routing), prompt engineering & caching, Python.

How I work:

Before writing code, I'll scope the exact workflow you need automated tell me the task (research, support, data extraction, reporting, etc.) and I'll confirm the agent architecture with you before starting, so there are no surprises on delivery.