I build production-ready cloud platforms and AI infrastructure.
With 2+ years of experience as a DevOps Engineer, I design, automate, and operate cloud-native systems using AWS, Kubernetes, Terraform, GitOps, and modern observability practices.
My current focus is helping engineering teams deliver software reliably while building the next generation of AI infrastructure through MLOps, AI-powered operations, and platform engineering.
I enjoy solving infrastructure problems, improving developer experience, and building systems that are scalable, observable, secure, and easy to operate.
- Cloud Infrastructure
- Kubernetes & Platform Engineering
- Infrastructure as Code
- GitOps & CI/CD
- AI Infrastructure
- MLOps
- Observability
- Reliability Engineering
- DevSecOps
AWS • Azure • Kubernetes • Docker • Linux • Terraform
Backstage • ArgoCD • Helm • GitOps
GitHub Actions • Jenkins • Azure DevOps
Prometheus • Grafana • ELK • CloudWatch
Python • MLflow • DVC • Argo Workflows • KServe • Kubeflow
- Zarr E-commerce Platform (Jazz / VEON)
- BizPey FinTech Platform (Gargash Group)
- Backstage Internal Developer Platform (POC)
- AWS Cost Optimization Initiative (saved &72k per annum)
- End-to-End CI/CD Pipelines
- Infrastructure as Code with Terraform
- Kubernetes Security & Networking
- Monitoring & Observability Platforms
- Cloud Automation Projects
- AI Platform Engineering
- Production AI Systems
- Large Language Model Infrastructure
- Model Serving & Inference
- AI Observability
- Platform Developer Experience
I believe infrastructure should enable developers, not slow them down.
My goal is to build platforms that make deploying, operating, and scaling modern applications and AI workloads simple, reliable, and secure.
- LinkedIn: https://linkedin.com/in/hassaansolves
- GitHub: https://github.com/muhammadhassaan-solves
- Email: hassaan.solves@gmail.com
Always learning. Always building.