I'm a Senior QA Engineer with 13+ years of experience in Manual and Automation Testing, currently expanding my expertise into DevOps and Cloud Engineering through hands-on projects, real-world implementations, and continuous learning.

My experience in Software Quality Engineering has given me a strong foundation in automation, problem-solving, Agile methodologies, software delivery, and continuous improvement. I'm now applying these skills to build scalable cloud infrastructure, automate deployments, create CI/CD pipelines, and work with modern DevOps technologies.

I successfully completed the 90 Days of DevOps challenge, where I gained practical experience with Linux, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Ansible, Helm, Prometheus, Grafana, AWS, and modern DevOps workflows.

Currently, I'm strengthening my practical experience through the CBC-BAN DevOps Internship and the 10 Weeks of AWS program by building production-style DevOps projects and cloud solutions.

• 🚀 CBC-BAN DevOps Internship
• ☁️ 10 Weeks of AWS

💼 Open to DevOps Engineer, Cloud Engineer, Platform Engineer, and Site Reliability Engineer (SRE) opportunities.

• AWS

• Docker
• Kubernetes
• Helm
• Amazon EKS
• Kind
• Minikube

• Terraform
• Ansible
• Bash Scripting

• GitHub Actions
• GitLab CI/CD
• Jenkins
• Git
• GitHub

• Prometheus
• Grafana

• Linux
• Ubuntu
• Windows
• WSL
• Bash
• Python
• Visual Studio Code

An end-to-end DevOps implementation for a Spring Boot banking application, demonstrating modern software delivery using Docker, Kubernetes, Helm, Terraform, AWS EKS, and CI/CD automation.

AWS • Amazon EKS • Docker • Kubernetes • Helm • Terraform • GitHub Actions • Spring Boot

• Containerized the application using Docker
• Provisioned Amazon EKS infrastructure with Terraform
• Created Helm charts for Kubernetes deployments
• Automated build and deployment workflows
• Configured Horizontal Pod Autoscaling (HPA)
• Applied Infrastructure as Code (IaC) best practices
• Worked with a production-style multi-tier application architecture

🔗 Repository: AI-BankApp-DevOps

A practical DevOps case study focused on optimizing Docker image builds and improving CI/CD efficiency using Docker best practices and GitLab CI/CD.

Designed and implemented an end-to-end DevSecOps CI/CD pipeline that demonstrates secure, automated software delivery using modern DevOps practices. Starting from a Docker build optimization case study, the project evolved into an enterprise-style solution integrating CI/CD automation, code quality analysis, security scanning, artifact management, container registry publishing, and automated deployment.

Docker • Docker BuildKit • Multi-stage Builds • Docker Compose • Jenkins • GitHub Actions • GitLab CI/CD • SonarCloud • Trivy • Nexus Repository • Docker Hub • Apache Tomcat • Maven • Java

• Designed and implemented a complete DevSecOps CI/CD pipeline
• Optimized Docker builds using multi-stage builds, BuildKit, and layer caching
• Reduced production Docker image size by 28.5% (856 MB → 612 MB)
• Automated build, test, code quality analysis, security scanning, packaging, and deployment
• Implemented CI/CD pipelines using Jenkins, GitHub Actions, and GitLab CI/CD
• Integrated SonarCloud for automated code quality analysis and Quality Gate validation
• Performed automated container vulnerability scanning using Trivy
• Published build artifacts to Nexus Repository
• Published versioned Docker images to Docker Hub
• Automated deployment of a Java WAR application to Apache Tomcat
• Produced architecture diagrams, optimization reports, build metrics, and technical documentation following enterprise DevSecOps best practices

🔗 Repository: Docker Build Optimization Case Study

A hands-on CI/CD project demonstrating automated software delivery using GitHub Actions and Docker.

GitHub Actions • Docker • Docker Hub

• Automated application build process
• Built Docker images using GitHub Actions
• Published Docker images to Docker Hub
• Implemented Continuous Integration workflows
• Improved deployment automation

🔗 Repository: GitHub Actions Capstone

A DevOps project demonstrating Kubernetes deployments automated through GitHub Actions.

Kubernetes • Docker • GitHub Actions

• Automated Kubernetes deployments
• Integrated Docker image builds
• Implemented GitHub Actions CI/CD workflows
• Managed Kubernetes manifests
• Improved deployment consistency through automation

🔗 Repository: GitHub Actions Kubernetes Masterclass

An ongoing hands-on DevOps internship focused on applying DevOps concepts through practical assignments, cloud technologies, automation, Infrastructure as Code, and CI/CD implementation.

AWS • Linux • Docker • Kubernetes • Terraform

• Working on real-world DevOps assignments
• Building cloud infrastructure on AWS
• Automating deployment workflows
• Applying Infrastructure as Code principles
• Strengthening Linux administration and cloud skills

🔗 Repository: CBC-BAN DevOps Internship

An ongoing hands-on AWS learning journey focused on understanding core cloud services and implementing practical cloud solutions.

• AWS Global Infrastructure
• IAM
• EC2
• Amazon S3
• Amazon VPC
• Networking Fundamentals
• Security Best Practices
• Billing & Cost Management

🔗 Repository: 10 Weeks of AWS

Repository
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Successfully completed the 90 Days of DevOps challenge by building hands-on projects across the complete DevOps lifecycle, covering Linux administration, version control, containerization, Infrastructure as Code, CI/CD automation, cloud computing, monitoring, and Kubernetes.

Linux • Bash • Git • GitHub • Docker • Kubernetes • Helm • Kind • Minikube • Terraform • Ansible • Jenkins • GitHub Actions • AWS • Prometheus • Grafana

• Successfully completed the 90 Days of DevOps hands-on learning challenge
• Built practical projects covering the complete DevOps lifecycle
• Worked extensively with Linux, Bash scripting, Git, and GitHub
• Containerized applications using Docker
• Deployed applications on Kubernetes using Helm, Kind, and Minikube
• Provisioned infrastructure using Terraform and Ansible
• Built CI/CD pipelines using Jenkins and GitHub Actions
• Gained hands-on experience with AWS cloud services
• Implemented monitoring using Prometheus and Grafana
• Strengthened real-world DevOps practices through daily hands-on learning

🔗 Repository: 90 Days of DevOps

I'm committed to continuous learning and regularly build hands-on projects to strengthen my DevOps and Cloud Engineering skills.

• 🎯 90 Days of DevOps Challenge
• 🎓 Certified DevOps Engineer Associate – TrainWithShubham

• 🚀 CBC-BAN DevOps Internship
• ☁️ 10 Weeks of AWS

I'm actively seeking opportunities where I can contribute, learn, and grow as a DevOps professional.

• 🚀 DevOps Engineer
• ☁️ Cloud Engineer
• ⚙️ Platform Engineer
• 📈 Site Reliability Engineer (SRE)

• ✅ 13+ years of Software Quality Engineering experience
• ✅ Strong understanding of SDLC, Agile, and software quality practices
• ✅ Hands-on experience with modern DevOps tools and workflows
• ✅ Passion for automation, Infrastructure as Code, and CI/CD
• ✅ Continuous learner with practical project experience

I'm always excited to collaborate on open-source projects, learn from the DevOps community, and contribute to building scalable, reliable, and automated software delivery solutions.

"Quality taught me how to build reliable software. DevOps is teaching me how to deliver it faster, automate it smarter, and scale it with confidence."

⭐ Thank You for Visiting!

Thanks for taking the time to explore my GitHub profile.

If you find my projects helpful, feel free to ⭐ star the repositories, connect with me, or collaborate on open-source projects.

I'm always eager to learn, build, and contribute to the DevOps community.

🚀 Happy Learning & Happy Automating!