Aliabbas K.

Designation: DevOps & Cloud Engineer With over a decade of hands-on experience across cloud infrastructure, DevOps, and platform engineering, I've helped organisations of all sizes — from fast-moving startups to enterprise clients — ship faster, scale reliably, and keep operational costs in check. What sets my work apart right now: I sit at the crossroads of traditional DevOps and the emerging AI infrastructure layer that most teams are still figuring out. I deploy and manage self-hosted LLM environments — running models via Ollama and vLLM on GPU-backed infrastructure, containerised with Docker, orchestrated on Kubernetes, and secured inside private networks. For teams where data cannot leave the building, I build the full stack that makes that possible — model serving, OpenAI-compatible API endpoints, RAG pipelines, and the observability layer on top. I also build and deploy MCP (Model Context Protocol) server infrastructure — connecting AI agents to internal tools, databases, file systems, and APIs in a controlled, auditable way. Whether you're integrating Claude, running a local Llama or Qwen model, or building a hybrid setup that uses Ollama for dev and a cloud model in production, I handle the infrastructure plumbing that makes it reliable. The rest of my stack is battle-tested: Terraform and Ansible for IaC, Helm for Kubernetes deployments, GitHub Actions and GitLab CI for pipelines, and Python for automation and tooling. DevSecOps is standard — secrets management, shift-left scanning, and compliance checks built into every pipeline. Whether you need cloud migration, a private AI deployment, CI/CD from scratch, or platform engineering that gives your developers self-service without the chaos — I deliver solutions that are production-ready and built to last. Let's build something solid. Reach out.