About

I am a B.Tech in Computer Science and Engineering graduate from KCG College of Technology, set to complete my degree in 2026. During my studies, I worked on several projects involving DevOps tools like Docker, Kubernetes, and Jenkins, and gained hands-on experience with AWS services such as VPC, load balancing, and auto scaling. My strongest skills include Infrastructure as Code with Terraform and CloudFormation, CI/CD pipelines, and cloud monitoring with Prometheus and Grafana. I am looking for my first full-time role as a DevOps Engineer to contribute to cloud infrastructure and automation workflows.

Education

1. KCG College of Technology, Chennai

   B.E., Computer Science and Engineering

   2022 – 2026 · Grade: 7.72

2. B.K.M. Hr. Sec. School, Chennai

   HSC (Physics, Chemistry, Maths, Computer Science)

   2020 – 2022 · Grade: 85%

Projects

• E-Commerce Website – CI/CD Deployment using Docker, Kubernetes & Jenkins DevOps Project

  • Docker
  • Kubernetes
  • Jenkins

  Deployed an e-commerce website end to end using a DevOps toolchain of Docker, Kubernetes, and Jenkins. Containerized the application with Docker and deployed it on Kubernetes for container orchestration and management. Built a Jenkins CI/CD pipeline to automate the build and deployment process, reducing manual deployment steps.

• Task Manager Application – Docker Deployment Mini Project

  • Docker

  Built a simple Task Manager application with a frontend, backend, and database, and containerized it using Docker with all three tiers connected end to end. Deployed the complete application stack using Docker containers, gaining hands-on experience with container-based deployment.

• Highly Available Web Architecture on AWS (VPC + Load Balancer) Self-practice

  • AWS
  • VPC
  • Elastic Load Balancer

  Configured a custom VPC with 2 subnets, route tables, and an Internet Gateway to control public connectivity and network access. Deployed an Elastic Load Balancer in front of the subnets to distribute incoming traffic and support high availability, following AWS best practices.

• Auto Scaling Architecture on AWS Self-practice

  • AWS
  • EC2
  • Auto Scaling

  Built an Auto Scaling setup to automatically adjust EC2 capacity based on demand, integrated with a Load Balancer for fault tolerance. Worked with scaling policies and instance health checks to understand how AWS monitors and maintains application availability under varying load.

Certifications

• Cloud Computing Foundations

  NPTEL · 2024

Achievements

• Cloud Computing Foundations

  2024

  Cloud Computing Foundations – NPTEL