Jada Sasikumar

Bachelor of Technology in Artificial Intelligence & Machine Learning with expertise in Python, Bash, AWS, Docker, Kubernetes, Jenkins, Terraform, and CI/CD. Seeking a DevOps Engineer role to design, deploy, and maintain scalable cloud infrastructure and automated pipelines, enhancing operational efficiency, system reliability, and continuous delivery for organizational technology solutions.

1.CI/CD Pipeline for a Web App

• Built an automated CI/CD pipeline for a Python Flask application. The pipeline automatically builds, tests (with Pytest), and deploys the application to AWS Elastic Beanstalk upon a push to the main branch.
• Netflix Landing Page Clone A responsive Netflix landing page clone built with modern web technologies to practice front-end development and CI/CD pipeline implementation.

2.Jenkins-end-to-end-pipeline

• This project demonstrates a comprehensive CI/CD pipeline implementation using Jenkins, featuring automated testing, production deployment, and end-to-end workflow automation.
• The pipeline architecture ensures reliable, fast, and automated software delivery.
• Pipeline Performance Pipeline Last Success Duration Status Test Pipeline9 min 36 sec18 sec
• Success Production Pipeline47 sec31 sec
• Success End-to-End Pipeline31 min11 sec
• Skills: Jenkins · Kubernetes · Containerization · Automation · Sonarqube · Software Deployment · Nexus · Git/Github

3.Node-js-Docker-Project

• This is a simple Node.js project containerized using Docker.
  It contains a small Express server that returns JSON output
• Simple Express HTTP API
• /health → returns service status
• /data → returns JSON + writes to output/response.json
• Writes logs to output/server.log
• Includes Dockerfile (Node 18 Alpine)
• Ready for GitHub deployment
• Skills: Nodejs · Kubernetes · Containerization · Automation ·CICD · Software Deployment

4.Deploying Java Application with EKS, Terraform, Prometheus & Grafana

• Cloud-Native Java Application Deployment using AWS EKS
  Provisioned AWS infrastructure using Terraform and deployed a containerized Java application on EKS. Implemented Kubernetes manifests, autoscaling, and integrated Prometheus & Grafana for monitoring and observability. Cloud-Native Java Application Deployment using AWS EKS Provisioned AWS infrastructure using Terraform and deployed a containerized Java application on EKS. Implemented Kubernetes manifests, autoscaling, and integrated Prometheus & Grafana for monitoring and observability.
• Skills: Amazon EKS · Kubernetes · Containerization · Automation · AWS Code Pipeline · Software Deployment

• Used Microsoft Excel to develop inventory tracking spreadsheets.
• Collaborated with team of 2 in the development of Java Application Deployment with Eks, prometheus/Graphana.
• Documented and resolved 70% which led to 80%.