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


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
Local Intelligence, Total Privacy, Expert AI Solutions
- FromUnited States
- Member sinceAug 2025
- Avg. response time2 days
Languages
English
FAQ
what exactly is "Sovereign Ai" and why do i need it?
Sovereign AI means owning your intelligence instead of renting it. I build systems that run on your hardware or private cloud. No data leaves your network, and you pay zero monthly API fees. It is total control over your data and your digital future.
Do i need a $10,000 server to run Local LLMs?
No. Using quantization (GGUF/EXL2), I optimize models like Llama 3 to run on consumer hardware. An RTX 3060/4060/5060 with 8GB VRAM is plenty for a high-speed private assistant. I specialize in making "heavy" models run on lean, efficient machines.
Can the Ai securely read my private company documents?
Yes. I use RAG (Retrieval-Augmented Generation) to create a local "Vector Database." The AI searches your PDFs, CSVs, or SQL files in real-time. Your data never touches the internet and is never used to train public models. It remains 100% private.
what is the difference between RAG and Fine-Tuning?
RAG is like an "open-book exam"—the AI looks up facts in your data. Fine-tuning is "brain surgery"—it changes the AI’s personality or specialized jargon. RAG is best for accuracy; Fine-tuning is best for a unique voice. I provide both to ensure total system synergy.
Is this cheaper than paying for ChatGPT Plus or APIs?
Long-term, absolutely. While there is an upfront cost, your "per-message" cost becomes $0.00. For high-volume businesses, a sovereign setup usually pays for itself in 3-6 months by eliminating recurring subscription traps and vendor lock-in.
How do you deliver the final product?
I provide a "Sovereign Container" via Docker. No complex installs or driver headaches. You get a one-click setup script and a professional README. Run the script, and the AI launches in your browser as a private, secure web app.
will you help me with the initial setup?
Every package includes a detailed guide. For Standard and Premium tiers, I offer a 1-on-1 remote session to optimize your environment for your specific GPU and VRAM, ensuring you get the highest tokens-per-second performance possible.

