Muhammad Haris

I’m a DevOps and Cloud Engineer with a strong Software Engineering background, focused on building and automating scalable, cloud-native and AI-powered systems. I specialize in taking applications from idea to production, including AI/ML workloads, and making sure they are reliable, secure, and easy to scale. What I do best: Cloud & Infrastructure: Design and manage resilient systems on AWS and Azure, with experience in hybrid and cost-optimized setups. AI & LLM Operations: Deploy and operate AI/ML and Large Language Models, working with Azure AI Services, AWS Kendra, and modern AI agents. Infrastructure as Code & Automation: Build reusable cloud architectures using Terraform, CI/CD pipelines, and workflow automation. Containers & Kubernetes: Package and run applications with Docker and Kubernetes for high availability and scalability. Python & Automation: Use Python for backend services, AI integration, and infrastructure automation. Monitoring & Optimization: Implement observability with Prometheus, Grafana, and CloudWatch to ensure performance and cost efficiency. Previously at GlobeSign, I helped improve deployment speed and reliability by automating CI/CD pipelines and infrastructure workflows.