matin labkhandagh

I build production AI systems that go beyond simple LLM integrations.
My work focuses on agentic systems, LangGraph, MCP, RAG/GraphRAG, LLM evaluation, and the infrastructure required to make AI systems reliable, measurable, and cost-efficient in production.
I've designed, built, and operated AI products end-to-end, including multi-model AI systems, multi-agent pipelines, MCP infrastructure, retrieval systems, evaluation frameworks, and AI-powered business automation.

Core areas:

• Agentic AI — LangGraph, multi-agent systems, tool calling
• MCP — servers, clients, connectors, OAuth relay
• RAG / GraphRAG — Neo4j, retrieval, reranking, grounding
• LLM Evaluation — RAGAS, LLM-as-judge, golden-file testing
• LLM Ops — model routing, semantic caching, cost optimization, observability
• Backend — Python, FastAPI, Django, PostgreSQL, Redis
• Full-Stack — TypeScript, Next.js, React
• Infrastructure — Docker, Linux, GCP

I'm currently open to remote contract and project-based AI engineering engagements.