You will get a private self-hosted LLM AI assistant on your servers
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Project details
For businesses that legally or contractually can't send data to OpenAI or other AI companies — law firms, accounting practices, clinics, finance. I deploy private, on-premises AI that runs entirely on your own hardware or cloud. Your data never leaves your walls.
I specialize in self-hosted LLMs (Ollama, DeepSeek, Mistral, Llama) wrapped in a real, usable assistant — RAG over your internal documents, a private chatbot for your team, or an AI workflow — with zero third-party data exposure. I'm a senior full-stack engineer, so you get a maintainable system, not a fragile experiment.
What you get:
✔️ Open-source LLM deployed on your server / private cloud (Ollama + Docker)
✔️ Private RAG over your internal, sensitive documents
✔️ A team-ready chat interface or API — fully offline-capable
✔️ Zero data sent to OpenAI or any third party
✔️ Setup docs + handover so your team can run it
✔️GDPR compliance
Tell me (1) your use case and (2) your hardware/cloud setup, and I'll confirm feasibility + a fixed price.
I specialize in self-hosted LLMs (Ollama, DeepSeek, Mistral, Llama) wrapped in a real, usable assistant — RAG over your internal documents, a private chatbot for your team, or an AI workflow — with zero third-party data exposure. I'm a senior full-stack engineer, so you get a maintainable system, not a fragile experiment.
What you get:
✔️ Open-source LLM deployed on your server / private cloud (Ollama + Docker)
✔️ Private RAG over your internal, sensitive documents
✔️ A team-ready chat interface or API — fully offline-capable
✔️ Zero data sent to OpenAI or any third party
✔️ Setup docs + handover so your team can run it
✔️GDPR compliance
Tell me (1) your use case and (2) your hardware/cloud setup, and I'll confirm feasibility + a fixed price.
AI Development Type
Knowledge RepresentationAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$300
|
Standard
$1,800
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 3 days | 11 days | 23 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | - | ||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$45Frequently asked questions
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MF
Manuel F.
Oct 31, 2025
Convert Figma Design to Blazor/CSS/HTML
The task was to create the design for a new Blazor Webassembly app, implement a Figma draft one-to-one, and adapt it for a wide variety of platforms and screen sizes. He did an excellent job. He implemented new screen pages for which there were no templates in exactly the right style. He repeatedly came up with good ideas to improve the application and was also open and patient in adapting the design and responding to change requests until everything was as desired. Thank you very much for the excellent collaboration. I am looking forward to our next project together.
KY
Kent Y.
Mar 20, 2024
Full Stack Developer - Complete Redo of existing Web App into Blazor/.Net.
Faheem was a huge part of successfully launching our Blazor app. He was very strong implementing our UI/UX in .NET. Will definitely hire for additional work in the future!
About Faheem
AI Engineer | RAG, Agents & Automation | Private/Self-Hosted LLMs
100%
Job Success
Lahore, Pakistan - 1:12 am local time
⭐ Top Rated on Upwork | Senior Full-Stack Engineer (.NET/React) | On-Premises & Cloud AI
🤖 WHAT I BUILD
✔️ AI Agents & multi-step agentic workflows (LangChain, LangGraph) that read data, reason, and take action
✔️ RAG systems & AI chatbots trained on your documents, PDFs, and knowledge base ("chat with your data")
✔️ AI automation — connect your tools and kill repetitive work (n8n, self-hosted n8n, APIs, webhooks, custom code)
✔️ LLM integration (OpenAI / GPT-4o, Claude, Gemini, open-source) into your existing app or SaaS
✔️ Private / on-premises LLM deployment (Ollama, Docker) — your data never leaves your servers
✔️ MCP servers & tool integrations to connect your systems to AI
🔒 MY EDGE: PRODUCTION-GRADE + PRIVATE
Two things separate me from the typical AI freelancer:
1) Production, not prototypes. I'm a senior full-stack engineer (.NET, C#, Blazor, React, Azure) — I ship AI features inside real applications that scale, not throwaway Python notebooks or brittle no-code flows.
2) Privacy by design. I build self-hosted, on-premises AI for regulated firms — law, accounting, healthcare, finance — that legally can't send data to OpenAI. Fully private, compliance-friendly, running on your own infrastructure.
🛠️ STACK
AI / LLM: OpenAI (GPT-4o), Claude, Gemini, open-source LLMs, Ollama, LangChain, LangGraph, RAG, vector databases (Pinecone, Qdrant, Chroma, FAISS), MCP, prompt engineering, embeddings, semantic search
Automation: n8n (incl. self-hosted), API & webhook integrations, workflow automation
Software: C#, .NET, ASP.NET Core, Blazor, React, REST APIs, SQL
Cloud / Infra: Azure, Azure OpenAI, Docker, on-premises deployment
📦 REPRESENTATIVE WORK
- AI Grading Coach (EdTech) — Replaced hours of slow, manual, exercise-by-exercise review with an AI coach that auto-grades each solved exercise and returns personalized, tailored tips to help learners improve — turning a slow manual bottleneck into a fast, consistent process. Built first with self-hosted LLMs (DeepSeek R1 / Mistral) for full data privacy, then extended with OpenAI for voice (speech-to-text) and reasoning — so I've shipped this both on-premises and in the cloud.
- Meal-Planning SaaS — Full-stack meal-prep and planning web app built in .NET / Blazor, deployed on Azure. End-to-end delivery from UI to backend to cloud.
👥 I WORK BEST WITH
I work with startups, SaaS companies, and growing SMEs that want to use AI to solve real business problems. Whether your goal is to automate repetitive workflows, eliminate manual labor, integrate AI into your existing software, or build AI-powered products from scratch, I focus on delivering solutions that save time, reduce costs, and scale with your business. For organizations with strict privacy requirements, I also implement secure, on-premise or private AI systems that keep sensitive data under your control.
📩 LET'S SCOPE IT
Send an invite or message with: (1) what you're building, (2) your current stack, (3) the one outcome you want. I'll reply with a short plan and a fixed price.
Steps for completing your project
After purchasing the project, send requirements so Faheem can start the project.
Delivery time starts when Faheem receives requirements from you.
Faheem works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1
I review the requirements and confirm the deployment plan (based on the selected package).
Step 2
We discuss the infrastructure (server/cloud) and gather access details if needed