Build ai agents with langchain, langgraph, crewai and ragMirza Umer
I build custom AI agents and multi-agent systems with LangChain, LangGraph, and CrewAI in Python, delivering autonomous AI that completes real business tasks, not demos.
Whether you need a single AI agent with tool calling, a RAG pipeline over your documents, or a team of specialized agents that plan, collaborate, and self-correct, I design it for production from day one.
What you get:
Autonomous AI agents with memory, tool calling, and structured outputs.
Multi-agent systems with supervisor and worker architectures.
RAG pipelines with Pinecone, ChromaDB, or pgvector.
GPT-4o, Claude, Gemini, or open-source models like Llama.
Human-in-the-loop approval steps for sensitive actions.
FastAPI or LangServe deployment on your server or cloud.
Clean, documented Python source code with a README.
Recent builds include a LangChain RAG document chatbot and an omnichannel AI support system, alongside automation work for US and EU clients.
Message me before ordering with your use case, and I will map the agent architecture, confirm the scope, and recommend the right package.
FAQs
Contact for pricing
Duration1 week
Tags
LangChain
AI Agent Developer
Crew
langgraph
law firms chatbot
rag
Service provided by
Mirza Umer Sialkot, Pakistan
Build ai agents with langchain, langgraph, crewai and ragMirza Umer
Contact for pricing
Duration1 week
Tags
LangChain
AI Agent Developer
Crew
langgraph
law firms chatbot
rag
I build custom AI agents and multi-agent systems with LangChain, LangGraph, and CrewAI in Python, delivering autonomous AI that completes real business tasks, not demos.
Whether you need a single AI agent with tool calling, a RAG pipeline over your documents, or a team of specialized agents that plan, collaborate, and self-correct, I design it for production from day one.
What you get:
Autonomous AI agents with memory, tool calling, and structured outputs.
Multi-agent systems with supervisor and worker architectures.
RAG pipelines with Pinecone, ChromaDB, or pgvector.
GPT-4o, Claude, Gemini, or open-source models like Llama.
Human-in-the-loop approval steps for sensitive actions.
FastAPI or LangServe deployment on your server or cloud.
Clean, documented Python source code with a README.
Recent builds include a LangChain RAG document chatbot and an omnichannel AI support system, alongside automation work for US and EU clients.
Message me before ordering with your use case, and I will map the agent architecture, confirm the scope, and recommend the right package.
FAQs
Contact for pricing