I will customize ai agents, local llm, and rag solution in python

K
king_creator93
K
king_creator93
A.Pulley

About this gig

I build Sovereign AI Infrastructureprivate, local, and high-performance systems that run on your own hardware with Zero API costs.

As a Systems Architect, I specialize in deploying Large Language Models (LLMs) and autonomous agents that prioritize Data Sovereignty and Privacy. Whether you need a private research assistant or a complex multi-agent workflow, I deliver clean, production-ready code optimized for local execution.

What I Offer:

  • Local LLM Deployment: Setup of Llama 3, Mistral, or DeepSeek on your local machine (optimized for 8GB+ VRAM).
  • Custom RAG Pipelines: Chat with your private PDFs, CSVs, and SQL databases using Vector DBs (ChromaDB/Pinecone).
  • Autonomous AI Agents: Multi-step workflows using CrewAI or AutoGen to handle complex business logic.
  • Model Quantization: Optimizing massive models to run efficiently on consumer-grade hardware.
  • End-to-End Automation: Python-based scripts that bridge the gap between AI and your existing apps.

The Deliverable: Every project includes full Source Code, a Dockerized environment for one-click setup, and professional documentation. No gatekeepingyou own the system I build.

Stop paying for tokens. Build your fortress.

Get to know A.Pulley

A.Pulley

Local Intelligence, Total Privacy, Expert AI Solutions

  • FromUnited States
  • Member sinceAug 2025
  • Avg. response time2 days
  • Languages

    English
I am an AI/ML Developer focused on high-performance, privacy-first solutions. With expertise in Python, PyTorch, and local LLM orchestration, I help clients deploy custom AI without relying on cloud subscriptions. My background in systems architecture allows me to optimize models for local hardware, ensuring speed and data sovereignty. From RAG pipelines to computer vision and automated workflows, I deliver clean, scalable code optimized for efficiency. I specialize in bridging the gap between complex algorithms and practical, real-world applications. Let’s build something efficient.