HELLO, I'M
I build, automate and deploy applications using modern DevOps practices. My focus is on Linux, Cloud, Containers, CI/CD and Kubernetes while continuously strengthening my engineering skills.
Automation, deployment and infrastructure
AWS, Docker and Kubernetes
Jenkins and GitLab CI workflows
Building practical projects
I am a BCA graduate building my career around DevOps, cloud infrastructure and automation.
My approach to DevOps is practical: understand the technology, build something with it, automate it, troubleshoot it and learn from the result.
I have worked with Linux, Git, AWS, Docker, Kubernetes, Jenkins and other DevOps tools through hands-on projects. Rather than learning tools only theoretically, I focus on understanding how they connect together inside a real deployment workflow.
My current goal is to start my professional journey as a DevOps Engineer and continue developing stronger skills in cloud infrastructure, CI/CD automation, containers, Kubernetes and infrastructure automation.
$ whoami
satnam
$ role
fresher-devops-engineer
$ focus
linux cloud containers ci/cd
$ pipeline
git → ci/cd → docker → kubernetes → monitoring
$ status
learning_and_building_
The workflow I am learning to build and automate.
Application source code managed with Git and GitHub.
CI pipelines automatically build and validate the application.
Docker packages applications into portable containers.
Kubernetes and cloud infrastructure run the application.
Metrics and dashboards help observe running applications.
Honest proficiency levels based on my practical learning and projects.
Comfortable with Linux fundamentals, filesystem navigation, permissions, users, processes, storage, networking and common system administration commands.
Working knowledge of Git workflows, repositories, branches, commits, remotes, merging, fetching, pulling and pushing code to GitHub.
Practical familiarity with core AWS services used in DevOps projects and cloud deployments.
Comfortable creating Dockerfiles, building images, running containers, mapping ports, working with volumes and integrating Docker into CI/CD workflows.
Working knowledge of Pods, Deployments, Services, StatefulSets, Persistent Volumes and Persistent Volume Claims, with practical deployment experience on Minikube.
Practical experience creating Jenkins pipelines that automate application build, testing, Docker image creation, registry push and deployment.
Understanding of GitLab CI concepts, pipeline stages, jobs and automated application workflows.
Foundational understanding of Infrastructure as Code, Terraform configuration, resources, variables and infrastructure provisioning.
Foundational knowledge of playbooks, inventories, tasks and configuration automation.
Basic understanding of metrics collection, monitoring concepts and Prometheus-based application observation.
Basic experience working with monitoring dashboards and visualizing application metrics.
Programming foundation developed through college work and practice, including variables, conditions, loops, functions, collections, files and exception handling.
Programming foundation demonstrated through a Java Swing college project involving GUI design, application logic and an order processing workflow.
Basic understanding of relational databases, querying and working with structured data.
A simplified view of the workflow behind my CI/CD projects.
Push code
Trigger pipeline
Validate code
Build image
Store image
Run application
Observe system
My main DevOps projects focus on automation, containers, Kubernetes and cloud deployment.
flask-jenkins-cicd-pipeline
A fully automated CI/CD workflow for a Flask web application. When code is pushed to the main branch, Jenkins automatically starts the pipeline and handles the application workflow without manual intervention.
GitHub → Jenkins → Build → Test → Docker Build → Docker Hub → Deploy
This project helped me understand how source control, CI/CD automation, Docker and application deployment work together as one workflow.
Deployed Full Stack chat-app
I containerized and deployed the open-source "chattingo" full-stack chat application. I first ran the application locally and then created a Kubernetes-based deployment for its services.
Frontend and backend were deployed using Kubernetes Deployments, while the database used a StatefulSet with persistent storage through PersistentVolume and PersistentVolumeClaim.
Jenkins was used to automate the end-to-end workflow and deploy the application on Minikube without manually performing every deployment step.
devops-python-app
A fully automated CI/CD pipeline for a Python application using Jenkins, Docker, Amazon ECR and Amazon EKS.
GitHub → Jenkins → Build/Test → Docker Build → Amazon ECR → Amazon EKS → Running Application
This project gave me practical exposure to connecting CI/CD automation with AWS container services and Kubernetes-based application deployment.
Projects that demonstrate my programming foundation beyond DevOps tooling.
A Java Swing-based desktop application developed as a college project to demonstrate programming logic, GUI development and application workflow.
My Python foundation covers programming fundamentals and basic automation-oriented concepts.
Java gave me a foundation in object-oriented programming and desktop application development.
Basic understanding of relational databases, structured data and database queries.
My progression from programming fundamentals toward DevOps engineering.
Java, Python, SQL and application logic.
Operating systems, command line, version control and collaboration.
Turning manual application workflows into automated pipelines.
Deploying containerized applications on cloud infrastructure.
Deeper cloud, automation, Kubernetes and infrastructure skills.
Academic foundation in computer applications, programming and software concepts.
I am looking for an opportunity to start my professional journey in DevOps and contribute to real-world engineering teams.