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Muhammad Hamza
@hamzakhalid5
Senior AI Engineer, Agentic Systems, LangGraph and MCP Architect
Pakistan
Englisch, Urdu
Über mich
I am a Senior AI Engineer specializing in production-grade Agentic RAG and multi-agent orchestration using LangGraph. Standard LLM integrations often fail in complex environments due to context loss. I solve this by building deterministic, stateful AI ecosystems that drive measurable business value. My technical stack includes custom MCP servers for secure tool calling, Qdrant for optimized vector retrieval, and scalable FastAPI backends. I do not simply build basic API wrappers. Let us architect your AI infrastructure properly from the foundational layer upward.
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Muhammad Hamza
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
KI-Implementierung und -Bereitstellung
I will architect agentic rag and langgraph multiagent ai systems
Portfolio
Arbeitserfahrung
AI Engineer (Zaydu Contract)
Upwork • Freiberufler
Aug 2024 - Present • 2 yrs
• Architected a LangGraph hybrid RAG platform hitting 100% intent accuracy to dynamically trigger workflows. • Optimized Qdrant retrieval pipelines and chunking, boosting retrieval accuracy by 90% and cutting system latency by 30% with Redis caching. • Deployed containerized production LLM services using Docker on Vertex AI and Cloud Run with automated autoscaling. • Developed a Gemini internal assistant with Model Context Protocol (MCP) servers for secure, flawless tool-calling. • Built a Gemini-BigQuery analytics engine, lifting reporting accuracy from 73% to 100% via automated SQL validation. • Automated company operational and marketing pipelines using n8n and Make to eliminate manual engineering overhead.
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