Muhammad Shaheer Email & Phone Number

Islamabad, Pk

Dallas, Texas, United States

Managed Backend Servers: Administered the company's backend servers and MongoDB databases, ensuring their performance and reliability.Migrated EKS nodes from m2.4xlarge to c6i.2xlarge ( for better computer power ) with zero downtime.Developed CI/CD Pipelines: Led the design and implementation of robust CI/CD pipelines, integrating a variety of tools and services to streamline development processes.Tool Integration: Utilized Bitbucket for code management, AWS CodeCommit for version control, AWS CodeBuild for automated builds, and AWS CodeDeploy for efficient deployments onto the EKS cluster. Managed deployments on the AKS cluster as well as the Azure DevOps tools.Optimized Workflows: Enhanced development workflows to promote agility and scalability, supporting the company’s growth trajectory.Server Migration: Successfully migrated backend servers from DigitalOcean to AWS, improving infrastructure performance and flexibility.Infrastructure as Code: Integrated Terraform into the company's infrastructure management for improved security and resource provisioning.Scalability with Kubernetes: Karpenter with the EKS cluster to enhance scalability and manageability.Release Management: Oversaw release management and deployment processes, ensuring seamless and efficient updates which led to the customer's trust in our applications.Sprint Planning and Backlog Grooming: Conducted sprint planning and backlog grooming sessions, applying Agile methodologies to prioritize tasks, optimize team workflows, and ensure timely delivery of features and improvements.

Orchestrated a scalable, multinode Kubernetes cluster setup using kubeadm for optimal performance.I also facilitated the seamless deployment of a machine learning platform on Kubernetes, which enhanced model development.I employed proactive troubleshooting to ensure continuous cluster functionality and managed volumes, mounts, and secrets for robust data storage and security.Finally, I leveraged best practices to optimize Kubernetes and ML platform (MLOPS) performance. Additionally, I employed Grafana and Prometheus for improved observability.