AI Platform Engineer Dubai, UAE Since 2019

I build the infrastructure AI runs on.

Since 2019 I've built cloud and Kubernetes platforms across Azure, AWS, and Google Cloud. Now I focus on what AI systems need underneath: LLMOps, agent infrastructure, and AI security.

Haseeb Sultan smiling outdoors, wearing a navy blazer and white shirt
Haseeb Sultan, Dubai
Experience
7+ years
Clouds
Azure, AWS, Google Cloud
Certified
Anthropic MCP: Advanced TopicsKubernetes Administrator (CKA)
Focus now
LLMOps, agent infrastructure, AI security

§ 01 · Platform stack

I started at the bottom of the stack. Now I work at the top.

Every AI system runs on cloud, orchestration, and delivery. I have spent years in each of those layers, and that work shapes how I build platforms for AI.

  1. AI platforms

    Now

    Tools: Claude Code · MCP · AI agents · FastAPI · Python · Go · MLflow

    Built k8s-agent: a Claude Code agent that operates Kubernetes inside guardrails enforced by RBAC, not by the prompt.

    Read the case study
  2. Delivery

    Since 2020

    Tools: Azure DevOps · GitHub Actions · GitLab CI · Argo CD · SonarQube

    DevSecOps in the pipeline for 23+ microservices, with GitOps releases to every environment.

  3. Orchestration

    Since 2020

    Tools: Kubernetes · AKS · EKS · GKE · Helm · Istio

    25+ Kubernetes clusters migrated to Azure across 11 environments.

  4. Cloud & IaC

    Since 2019

    Tools: Azure · AWS · Google Cloud · Terraform · Ansible

    Azure infrastructure costs cut by up to 45% through scaling and reserved capacity.

§ 02 · Track record

Measured results from production platforms.

Azure infrastructure cost reduction
up to 45%
Microservices with DevSecOps in CI/CD
23+
Virtual machines migrated to Azure
100+
DevOps projects led, with a team of 8
10+
Full experience and skills

§ 03 · Selected projects

Platforms I have designed and delivered.

All 11 projects

§ 04 · Writing

What I think about AI, and lessons you can follow.

All posts The lesson series

§ 05 · Contact

Working on cloud, Kubernetes, or LLM infrastructure? Let's talk.