You will get a private self-hosted LLM & RAG platform on infrastructure you control
Project details
You will get a truly private alternative to ChatGPT, running entirely on infrastructure you control - no third-party APIs, no data leaving your tenant.
Most self-hosted installs stop at an unsecured Ollama instance; I deliver a production-grade, security-hardened private LLM and RAG platform.
What I deliver:
• Self-hosted inference with vLLM, Ollama or llama.cpp, on CPU or GPU (on-prem, VPS, Azure/AWS, private AI cloud)
• RAG over your documents: ingestion pipeline, vector database (Chroma, LanceDB, pgvector), tuned retrieval with source citations
• Secured chat front-end with TLS, authentication and optional SSO (Entra ID, Google, OIDC)
• REST API so your own applications can use the platform
• Hardened, Dockerised deployment; optional full Terraform + Ansible IaC, CI/CD and Grafana
Why me: 18+ years in DevOps and cloud infrastructure (Kamobo Ltd, UK). I architected a zero-trust private RAG platform for a global education body - in production today across multiple isolated use cases with dedicated private vector stores. My deployments have passed ISO 27001 audits twice at 100%. Ideal for GDPR and data-sovereignty needs. Managed support from £595/month.
Most self-hosted installs stop at an unsecured Ollama instance; I deliver a production-grade, security-hardened private LLM and RAG platform.
What I deliver:
• Self-hosted inference with vLLM, Ollama or llama.cpp, on CPU or GPU (on-prem, VPS, Azure/AWS, private AI cloud)
• RAG over your documents: ingestion pipeline, vector database (Chroma, LanceDB, pgvector), tuned retrieval with source citations
• Secured chat front-end with TLS, authentication and optional SSO (Entra ID, Google, OIDC)
• REST API so your own applications can use the platform
• Hardened, Dockerised deployment; optional full Terraform + Ansible IaC, CI/CD and Grafana
Why me: 18+ years in DevOps and cloud infrastructure (Kamobo Ltd, UK). I architected a zero-trust private RAG platform for a global education body - in production today across multiple isolated use cases with dedicated private vector stores. My deployments have passed ISO 27001 audits twice at 100%. Ideal for GDPR and data-sovereignty needs. Managed support from £595/month.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging Face, PyTorchAI Models
BLOOM, LLaMAWhat's included
| Service Tiers |
Starter
$695
|
Standard
$1,850
|
Advanced
$4,100
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | |||
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | |||
Natural Language Processing | - | ||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | |||
Source Code |
About James
AI Agents & Private LLM/RAG | Azure DevOps, Terraform, Kubernetes
Stevenage, United Kingdom - 2:23 am local time
Through my UK company, Kamobo Ltd, I offer three things:
AI & AGENTS — production-grade agentic automation (Claude SDK, BullMQ) and a fully private, self-hosted LLM/RAG platform (vLLM, Ollama, Chroma/LanceDB) built for a global education body under zero-trust rules — running in production today, serving multiple isolated use cases with dedicated private vector stores. Frontier or self-hosted models, chosen for the outcome, not the vendor.
CLOUD, IaC & DATA — Terraform landing zones, subscription vending, hub-spoke networking and private endpoints; Azure data platforms on Synapse, Databricks and Data Factory; CI/CD with GitHub Actions, Azure Pipelines and GitLab. Everything as code, everything repeatable — two ISO27001 audits passed at 100%.
COST & PERFORMANCE — FinOps audits with receipts: £150k/year removed for a global accountancy training organisation and £250k/year identified for a UK financial services firm. And rapid root-cause work on slow or unstable platforms: I reverse-engineer the whole stack (including systems I didn't build) to find the real cause — PVCs on slow disks, under-spec'd RabbitMQ, mis-tuned NGINX ingress, over-provisioned resources.
I also founded GrassrootsDNA, a multi-tenant club-management SaaS I built and operate end to end — so I build like an owner, not a contractor. Everything I build can be run as well as delivered — monthly managed plans cover monitoring, updates and improvements after go-live.
If you need AI that actually ships to production, or cloud infrastructure done properly the first time, send me a message — I'll reply quickly with an honest scope and a clear plan.
Steps for completing your project
After purchasing the project, send requirements so James can start the project.
Delivery time starts when James receives requirements from you.
James works on your project following the steps below.
Revisions may occur after the delivery date.
Scope hardware, model and use case
We confirm your hardware or cloud target, pick the right model and serving stack (Ollama, vLLM, llama.cpp), and agree the scope in writing before any work starts.