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.

More Reading

Post navigation

Previous Post

Amazon EC2 – High-Performance Elastic Cloud Computing

A fundamental part of the AWS ecosystem as it enables programs to run in the cloud, Amazon Elastic Compute Cloud (EC2) has flexible virtual servers. Companies may assign anything from small development projects to enterprise-level systems thanks to it flexibility. Understanding EC2 Instance Types EC2…

Leave a Comment

Leave a Reply

Your email address will not be published. Required fields are marked *

back to top