CI/CD Pipeline for Java Web Application
Designed and implemented a Jenkins Declarative CI/CD pipeline to automate build, code quality analysis, containerization, and deployment of a Java Maven application to Apache Tomcat.
Aspiring AWS Cloud & DevOps Engineer with hands-on experience in EC2, VPC, IAM, S3, CloudWatch, CloudFormation and CI/CD basics, eager to design reliable, cost-efficient infrastructure.
Actively seeking opportunities as an AWS Cloud / DevOps Engineer.
About
I enjoy automating infrastructure, improving system reliability, and working with teams to deliver scalable and resilient DevOps solutions.
I’m a recent B.Tech graduate who transitioned from Civil Engineering into Cloud and DevOps. I’ve worked on hands-on projects using AWS services such as EC2, VPC, S3, IAM, Lambda, and CloudFront, and I’m comfortable working with Linux, basic scripting, and CI/CD concepts.
I have experience with DevOps tools like Maven, Jenkins, SonarQube, JFrog Artifactory, Git, and GitHub, and Currently expanding my DevOps skill set by gaining hands-on experience with Docker and Terraform, along with Kubernetes, configuration management, and monitoring tools. My goal is to contribute to teams that value automation, reliability, and clear communication while continuing to strengthen my DevOps skill set.
Skills
A solid foundation in AWS, networking and DevOps basics with growing experience in automation and monitoring.
Featured Application
A personal project built to demonstrate system thinking, deployment awareness, and practical problem-solving using modern tools.
HarDil is a lightweight web application designed as a single place to access trusted online services such as jobs, education, health, entertainment, and utilities. Instead of duplicating functionality, the application redirects users strictly to official and verified platforms.
The goal was not to build a complex product, but to design a clean, reliable, and user-friendly interface that reflects real-world usage, clarity, and responsibility.
Coming from a Civil Engineering background and transitioning into AWS Cloud & DevOps, I wanted to prove that strong problem-solving, creativity, and system understanding matter more than a specific degree.
HarDil was built to showcase how I approach learning, structuring applications, thinking about deployment, and improving user experience — even when using AI as an assisting tool.
From a DevOps and cloud perspective, HarDil is intentionally designed as a static, lightweight application — making it ideal for hosting on AWS services like S3 and CloudFront.
This project reflects how I think about scalability, performance, simplicity, and cost-efficiency — key principles in real-world cloud and DevOps environments.
AI was used as a supporting tool during development — not to blindly generate code, but to speed up iteration, validate ideas, and explore better design decisions.
Tools don’t build applications on their own. Understanding what to ask, how to refine outputs, and how to align results with real requirements is what turns assistance into a usable product.
HarDil is also named to honor a close personal relationship that I deeply value — someone who stands just after my family in importance. This project carries shared credit and responsibility, and I fully accept feedback and criticism as part of learning and growth.
Projects
Real-world projects demonstrating AWS infrastructure, automation, CI/CD pipelines, and containerized deployments.
Designed and implemented a Jenkins Declarative CI/CD pipeline to automate build, code quality analysis, containerization, and deployment of a Java Maven application to Apache Tomcat.
Provisioned AWS infrastructure using CloudFormation templates, including custom VPC, subnets, security groups, and EC2 instances. Configured CloudWatch metrics and alarms for monitoring and alerting.
Hosted a highly available static website using Amazon S3 and optimized global content delivery with CloudFront. Implemented secure bucket policies and caching strategies for performance.
Built a custom Docker image for Apache Tomcat using Amazon Linux, automated application setup with Dockerfile, and exposed required ports for containerized deployment.
Education
Built a strong foundation in problem-solving and analytical thinking through core engineering studies, while independently learning cloud technologies and DevOps tools in parallel.
Certifications
These programs strengthened my understanding of AWS best practices, architecture design and real-world solution building.
You can download a detailed PDF version of my resume, including complete project descriptions, skills and education.
Contact
Feel free to reach out for opportunities, collaborations, or just a quick chat about AWS and DevOps.
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client, you can write me directly at
aghari128@gmail.com.