I build intelligent agent systems that connect Large Language Models with your enterprise data and tools. Specialized in RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), LangChain, and LangGraph for creating autonomous multi-agent workflows.
Whether you need a customer support AI, an internal knowledge assistant, or automated decision-making agents, I design the full pipeline: vector database setup, document ingestion, prompt engineering, agent orchestration, and API integration with your existing systems.
What you get:
→ Multi-agent architecture design
→ RAG pipeline implementation (vector DB + embeddings)
→ MCP connectors for enterprise tool integration
→ LLM fine-tuning and prompt engineering
→ Secure deployment with observability
Certified in LangChain, LangGraph, MCP (Anthropic), and Claude API. I bring AI-First engineering to regulated industries.
Technologies: Python, LangChain, LangGraph, OpenAI API, Claude API, Vector Databases, MCP, Node.js.