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Devops Engineer with less than a year in automation, CI/CD, and cloud infrastructure.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
contribute to an organization by applying my expertise in automation, system optimization, and efficient workflow management, while ensuring smooth collaboration between development and operations teams to deliver high-quality, scalable solutions.
Ganpat University
Master of Science · Information Technology
August 1, 2025 – Present
Ganpat University
Bachelor of Science · Information Technology
August 1, 2022 – June 30, 2025
Java Application Deployment with Jenkins & Monitoring with Prometheus and Grafana
June 29, 2026 – Present
Implemented a Learning Management System that allowed students to enroll in online courses, track their learning progress. The platform was designed for high availability, secure access, and continuous monitoring to ensure uninterrupted learning experiences. Automated the CI/CD pipeline for a Java-based web application using Jenkins, covering build, test, and deployment stages on virtual machines. Configured Prometheus to collect system and application metrics, while Grafana dashboards provided real-time insights into performance, CPU, and memory usage. Enabled alerting with Prometheus Alertmanager to notify the team of resource anomalies.
Multi-Environment Node.js Deployment Using GitLab CI/CD
June 29, 2026 – Present
Real-Time Collaboration & Task Management Platform A web application that allows teams to manage tasks, track project progress, assign responsibilities, and communicate in real time. Designed and implemented a robust GitLab CI/CD pipeline to automate the deployment of a Node.js application across development, staging, and production environments. Utilized environment-specific variables, protected branches, and GitLab runners to maintain isolation and ensure secure, consistent deployments at each stage. Implemented pipeline stages for build, test, deploy, and approval, enabling controlled rollouts and minimizing deployment risks. Improved deployment traceability by integrating version tagging, commit metadata, and environment-specific logging.
ECS Service Deployment Automation Using Jenkins Pipelines
June 29, 2026 – Present
Deployed an AI-powered selfie recognition platform where users can upload selfies and receive personalized content or image recommendations based on facial recognition. The system ensures real-time responses, high availability, and seamless feature updates. Built and deployed containerized applications to Amazon ECS by automating the CI/CD pipeline using Jenkins. Created and pushed Docker images to AWS ECR, then updated ECS task definitions and service configurations to trigger zero-downtime deployments. Integrated versioning, environment variables, and rollback strategies into the pipeline for greater control and reliability. Ensured consistent deployments across staging and production environments using parameterized Jenkins jobs and IaC practices.
Terraform-Based Infrastructure as Code with State Locking and Modules
June 29, 2026 – Present
Delivered a scalable and automated cloud infrastructure platform for a multi-environment web application, enabling teams to provision and manage compute, network, and security resources efficiently while ensuring consistency and collaboration across development, staging, and production environments. Built and managed complete infrastructure using Terraform, including network (VPCs, subnets), compute (EC2, ECS), and IAM resources. Implemented remote state backend with state locking using S3 and DynamoDB to prevent configuration conflicts. Modularized Terraform codebase to promote reusability and improve team collaboration.
HashiCorp Certified Terraform Associate
HashiCorp
April 1, 2025 – Present
AWS Certified Solution Architect
AWS
January 1, 2025 – Present
AWS Certified Cloud Practitioner
AWS
October 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong alignment with a DevOps Engineer role, showcasing diverse experience in CI/CD, IaC, containerization, and monitoring across different technology stacks (Java, Node.js) and cloud platforms (AWS). The pursuit of multiple certifications (AWS, HashiCorp Terraform) indicates a proactive learning attitude and commitment to professional development, which are positive indicators for cultural fit in a dynamic technical environment. The projects are all personal, which is expected given the experience level, but they cover a good breadth of relevant skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an understanding of key operational concepts such as high availability, zero-downtime deployments, rollback strategies, and consistent deployments across environments. The focus on automation, efficiency, and collaboration aligns well with DevOps principles. However, without direct interaction or psychometric test results, it's difficult to assess soft skills like teamwork, problem-solving under pressure, or communication clarity beyond written descriptions.