Hands-on experience in cloud infrastructure, container orchestration, and CI/CD automation with years of experience designing and implementing scalable, resilient systems on AWS. Passionate about infrastructure as code and developer productivity.
AWS
Docker
Kubernetes
Jenkins
Terraform
Git
Linux
Nginx
Cloud DevOps Engineer
Cloud DevOps Engineer with hands-on experience in containerization, orchestration, and CI/CD pipelines. Proficient in AWS services, Docker, Kubernetes, and infrastructure automation with expertise in deploying scalable web applications and managing cloud infrastructure.
Currently based in Pune, India, I hold a Bachelor's degree in Electronics and Telecommunication Engineering with a CGPA of 8.25/10.0. My technical journey began with a strong foundation in networking and systems administration, which evolved into a passion for cloud technologies and DevOps practices.
Throughout my career, I've successfully implemented DevOps solutions that reduced deployment times by 70%, improved system reliability to 99.99% uptime, and cut infrastructure costs by 40% through right-sizing and optimization. I specialize in building scalable, secure, and cost-effective cloud architectures that empower development teams to deliver value faster.
You can find me contributing to writing technical blogs, or speaking at local meetups about DevOps best practices and cloud technologies.
Built and deployed a 3-tier note-taking web application using Docker, NGINX, Django, Node.js, SQLite, and Jenkins. Containerized services with Docker Compose (v3.8) and configured NGINX as a reverse proxy to route traffic to the backend. Automated CI/CD using Jenkins pipelines for both frontend and backend, handling code checkout, environment setup, dependency installation, migrations, and server startup. Used SQLite for lightweight backend storage and added health checks to ensure service reliability, reducing manual deployment effort by ~60%.
Deployed a 2-tier Flask and MySQL-based web application using Docker, Kubernetes, and AWS to ensure high availability and scalability. Containerized the application using Docker Compose and pushed images to DockerHub for version control. Automated Kubernetes cluster setup with Kubeadm and migrated the application to AWS EKS using eksctl. Packaged Kubernetes manifests with Helm charts, achieving 99.9% uptime and reducing deployment time by 70%, while ensuring reliable backend storage with MySQL.
Automated the CI/CD pipeline for a Windows application using Jenkins, MSBuild, and SonarQube to improve build efficiency and code quality. Configured Jenkins to trigger builds with MSBuild, reducing manual effort and ensuring consistent outputs. Integrated SonarQube for continuous static code analysis, maintaining a 95%+ build success rate. The end-to-end automation reduced manual deployment time by 80%, streamlining the release process and enhancing code reliability.
Developed a CI/CD pipeline for a Java web application using GitHub, Maven, Jenkins, and Apache Tomcat to streamline builds and deployments. Managed version control through GitHub with 30+ commits, enhancing team collaboration and code tracking. Configured Jenkins to automate 10+ builds per week, reducing the release cycle by 40% and improving code quality with fewer post-deployment issues. Set up an AWS EC2 instance with the full toolchain, reducing manual deployment errors by 90% through complete automation.
Deploying a Python application can seem daunting, but with the right approach, it becomes straightforward. This guide covers local, Docker, and cloud-based deployment methods for Django applications.
This blog explains the critical role of CI/CD in startups—speeding up time to market, reducing manual errors, improving code quality, and building a strong DevOps culture from the beginning.
A hands-on journey through DevOps essentials using Node.js, Nginx, Docker, and AWS. Includes networking basics, containerization, and deploying production-ready applications.
Dive into the security challenges of Kubernetes — from dynamic infrastructure and RBAC mismanagement to network exposure. Learn why securing Kubernetes is critical in production environments.