I am an AWS DevOps Engineer with hands-on experience in cloud infrastructure, Linux administration, CI/CD, containerization, and Infrastructure as Code. My core focus is on building reliable, scalable, and automated deployment environments using AWS and Terraform.
I have worked with AWS services including EC2, S3, IAM, VPC, CloudWatch, Auto Scaling, Elastic Load Balancing, Security Groups, and CloudFormation. I can provision and monitor cloud infrastructure while applying security-conscious practices such as SSH hardening and IAM role configuration.
I am experienced in Linux server administration across Ubuntu and RHEL environments. My work includes configuring Apache and Nginx, managing services with systemctl, handling package management, creating cron jobs, analyzing logs, and writing Bash automation scripts.
I use Docker and Kubernetes to containerize and deploy applications, and I have practical exposure to OpenShift. I also build and support CI/CD workflows with Jenkins, GitHub Actions, Git, and GitHub to improve deployment consistency and automation.
Alongside DevOps, I have independently developed and deployed an AI-powered web application using HTML, CSS, JavaScript, and AI API integration. My academic background in Computer Science Engineering with AI and Data Science has also provided me with experience in Python, machine learning, NLP, Scikit-learn, and Pandas.
I am currently gaining production-environment DevOps experience as an intern at Safe Edges. I am actively looking for opportunities where I can contribute to cloud infrastructure, automation, monitoring, and continuous delivery initiatives while continuing to grow as a DevOps engineer.