Agentic AI

Production agents with LangGraph, LangChain, and OpenAI.

Most agent demos stop at a chat window. I build systems that run inside your business — agents that plan steps, call tools, read your data, and hand off when a person needs to take over. LangGraph and LangChain handle orchestration. OpenAI handles reasoning. On the backend: Python and FastAPI, PostgreSQL or MongoDB for storage, Redis for queues and cache, Docker to keep it stable in production.

Stack

LangGraphLangGraphLangChainLangChainOpenAIOpenAIPythonPythonFastAPIFastAPIPostgreSQLPostgreSQLMongoDBMongoDBRedisRedisDockerDocker

What you get

  • Agents connected to your APIs, documents, and databases
  • LangGraph flows with logging and human-in-the-loop where needed
  • FastAPI services with Postgres, MongoDB, or Redis as the project requires
  • Deployed, monitored, and documented for your team to run

Process

  1. 01Discovery call
  2. 02Scoped proposal
  3. 03Design + build
  4. 04Weekly demos
  5. 05Ship + support
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