About Me.
I am a Cloud and DevOps Engineer with a strong focus on designing, automating, and managing scalable cloud infrastructure. I specialize in Infrastructure as Code, CI/CD pipelines, containerization, and cloud-native technologies using tools such as Terraform, Docker, Kubernetes, AWS, and GitHub Actions.
I have hands-on experience deploying multi-tier applications, automating cloud provisioning, and building reliable deployment pipelines. I am detail-oriented, solution-driven, and committed to implementing best practices that improve system performance, security, and operational efficiency.
Experience
- Panthera's Org Tech DevOps Engineer
- Digital Witch Solutions Devops Intern
- Freelance DevOps and Frontend Development
Skills
- Cloud Platforms AWS (EC2, S3, VPC, IAM, CloudFront, Route 53, ALB, ACM, CloudWatch, Lamda, ECS, Fargate) Azure (Azure Virtual Machines, Azure Virtual Network (VNet), Azure Kubernetes Service (AKS), Azure Load Balancer, Azure Storage, Azure Monitor, Azure Key Vault, Azure DNS)
- Infrastructure as Code (IaC) Terraform
- Containerization & Orchestration Docker, Docker Compose, Kubernetes(EKS,AKS), Helm, ArgoCD
- CI/CD & Automation GitHub Actions, GitOps workflows, Push/Pull pipelines, Bash scripting
- Configuration & Monitoring Datadog, Prometheus, Grafana, AWS CloudWatch, Azure Monitor
Skills
- Scripting & Programming Bash / Shell scripting, Python, Powershell
- Networking & Security VPC, VNet, Subnets, Security Groups, NSGs, NACLs, IAM, RBAC, MFA, DNS, HTTPS, SSL/TLS
- Linux server management
- HTML, CSS and Java
- Databases RDS, PostgreSQL, MySQL, AzureSQL
- Version Control & Tools Git, GitHub, Certbot, Namecheap DNS
Selected Works.
Automated Three-Tier Application Deployment on AWS Using Terraform, GitHub Actions, Docker, Kubernetes, and ArgoCD
This project demonstrates the complete automation of a three-tier web application infrastructure and deployment pipeline on AWS. The architecture includes a frontend, backend, and database tier, provisioned with Terraform, deployed to Kubernetes, and continuously managed using GitHub Actions and ArgoCD following GitOps principles Project Link.
End-to-End Kubernetes Application Deployment on AWS EKS with CI/CD, HTTPS, and GitOps using Argo CD
This project demonstrates a complete production-style Kubernetes workflow on AWS. It covers container image management using Amazon ECR, Kubernetes cluster provisioning with eksctl, continuous integration using a CI pipeline, secure HTTPS exposure using cert-manager and NGINX Ingress, GitOps-based continuous deployment with Argo CD, and cluster visualization using OpenLens. Project Link.
End-to-End Full-Stack Application Testing and Deployment Using Docker and Docker Compose
This project demonstrates the complete workflow of developing, testing, containerizing, and orchestrating a full-stack application using modern DevOps practices. The application consists of a Python FastAPI backend, a React frontend, and a PostgreSQL database. The project is executed in three major stages: Running all components locally without Docker, running each component inside Docker containers, orchestrating all services together using Docker Compose Project Link.
Docker-based Monitoring Stack
This project demonstrates the setup of a complete monitoring stack using Docker, including; Prometheus:metrics collection and alert evaluation, Node Exporter:exposes server hardware and OS metrics, Grafana:dashboard visualization and metric exploration, Alertmanager:alert management and notification. The stack is configured using Docker Compose to simplify deployment. It also includes recording rules and alerting rules to generate alerts based on system metrics, such as high CPU usage. Project Link.
Deploying and Managing a Dockerized Application with Portainer, AWS EC2, and ECR
This project demonstrates how to deploy, manage, and scale a Dockerized application using Portainer, AWS EC2 instances, and Amazon ECR, with automated deployment from GitHub using GitHub Actions. Additionally, we configure a staging environment, secure the application with HAProxy and Let's Encrypt SSL, and manage deployments through a graphical interface. Project Link.
Implementation of HTTPS Load Balancing Using HAProxy and Let’s Encrypt SSL Certificate
This project simulates a production-ready web architecture where traffic is distributed across multiple web servers for improved performance and reliability. The HAProxy server sits in front of the two Nginx web servers. It routes incoming requests to the backend servers using round-robin load balancing, and SSL/TLS encryption ensures data is transmitted securely. Project Link.
Projects Completed
Successfully built and deployed cloud infrastructure, CI/CD pipelines, and containerized applications.
Lines of Code
Written across Terraform, YAML, Bash, and Python for automation and infrastructure management.