I will build a private local llm and rag system

L
leoloai
L
leoloai
He L

About this gig

PLEASE CONTACT ME BEFORE ORDERING with your hardware specs (GPU/VRAM, OS) and use case to confirm feasibility.

Looking for a 100% private, enterprise-grade AI system that never leaks confidential data outside your infrastructure? I can provide services to you with your hardware constraints.

What I Deliver:

  • Optimized Local Inference: Deploy open-weight models (Llama 3, Mistral, Qwen) using vLLM or Ollama with 4-bit AWQ quantization and PagedAttention to maximize throughput and prevent CUDA OOM.
  • Agentic Workflows: Build multi-agent state machines via LangGraph with conditional routing, state persistence, and deterministic tool calling.
  • Enterprise RAG Pipelines: High-accuracy retrieval using vector databases (Qdrant/Chroma), hybrid search, and reranking.
  • Production Backend: Fully asynchronous FastAPI endpoints wrapped in clean Docker Compose environments.

Scope & Exclusions:

  • All standard packages deliver robust backend services, container configs, and API docs.
  • Frontends (Streamlit/OpenWebUI) or custom third-party integrations are available via Gig Extras or custom offers.

Ready to turn open-source AI into your private business engine? Send me a message to discuss your architecture!

Get to know He L

He L

AI Engineer

  • FromTaiwan
  • Member sinceSep 2026
  • Languages

    English, Chinese
I am an AI engineer with experience in building hybrid AI architectures and high-precision computer vision solutions. I specialize in optimizing AI-driven development workflows and bridging the gap between technical complexity and industrial user scenarios. I excel at driving innovation through robust, scalable AI products.