• ☁️ Cloud & DevOps enthusiast focused on AWS infrastructure, automation, deployment, and reliability.
• 🐧 Hands-on experience working with Linux systems, networking, cloud infrastructure, and server administration.
• 🏗️ Building infrastructure using Terraform and Infrastructure as Code practices.
• 🐳 Working with Docker and containerized applications.
• 🔄 Building CI/CD pipelines using Jenkins, Git, and GitHub.
• ☸️ Exploring Kubernetes, Helm, and GitOps-based deployment workflows.
• 📊 Interested in monitoring, observability, automation, and scalable cloud architectures.
• 🎯 Currently looking for opportunities in Cloud, DevOps, System Administration, and Infrastructure Engineering.

• Cloud & Infrastructure: AWS, EC2, VPC, IAM, S3, RDS, ALB, CloudWatch
• Infrastructure as Code: Terraform
• Containers & Orchestration: Docker, Kubernetes, Helm
• CI/CD & DevOps: Jenkins, Git, GitHub, CI/CD
• Linux & Automation: Linux, Bash, Ansible
• Monitoring & Observability: Prometheus, Grafana
• Networking: TCP/IP, DNS, HTTP/HTTPS, Subnetting, Routing, Load Balancing
• Application & Databases: Node.js, Express.js, React.js, MongoDB, MySQL

Terraform • AWS • Linux • Networking

Designed and provisioned a production-style AWS infrastructure using Terraform, focusing on modular Infrastructure as Code and reusable cloud components.

• Designed a custom VPC with public and private subnets.
• Configured EC2, Application Load Balancer, Auto Scaling, and RDS.
• Implemented IAM roles, security groups, and network-level security controls.
• Structured Terraform configuration into reusable and maintainable components.
• Integrated AWS services required for a scalable multi-tier infrastructure.
• Applied Infrastructure as Code principles for repeatable infrastructure provisioning.

🔗 Repository:
terraform-enterprise

React.js • Node.js • Express.js • MongoDB • Docker • Jenkins • AWS

Containerized and deployed a three-tier web application while implementing an automated CI/CD workflow.

• Worked with a frontend, backend, and database architecture.
• Containerized application components using Docker.
• Implemented CI/CD automation using Jenkins.
• Integrated GitHub source control into the deployment workflow.
• Configured application deployment on AWS infrastructure.
• Troubleshot application, networking, container, and deployment issues.

🔗 Repository:
hospital-management

Linux • Ansible • Docker • Prometheus • Grafana • Node Exporter • Alertmanager

Built a Linux infrastructure monitoring environment focused on automated deployment and system observability.

• Automated infrastructure configuration using Ansible.
• Containerized monitoring components using Docker Compose.
• Implemented metrics collection using Prometheus.
• Built monitoring dashboards using Grafana.
• Integrated Node Exporter for Linux system metrics.
• Configured Alertmanager for monitoring alerts.
• Practiced infrastructure automation and operational monitoring.

🔗 Repository:
linux-infra-monitoring-suite

FastAPI • MySQL • AWS EC2 • Docker • Jenkins • Docker Compose

Built and deployed a server inventory application with automated deployment components.

• Developed a backend application using FastAPI.
• Used MySQL for persistent application data.
• Containerized the application using Docker.
• Deployed application components on AWS EC2.
• Implemented deployment automation using Jenkins.
• Used Docker Compose for multi-container application management.

🔗 Repository:
server-inventory-app

RAG • Node.js • Express.js • React.js • MongoDB • AI

Developed a virtual medical assistant using AI, NLP, and Retrieval-Augmented Generation to provide intelligent application-based assistance.

• Built a full-stack application using React.js, Node.js, and Express.js.
• Integrated RAG-based retrieval for contextual responses.
• Used MongoDB for application data management.
• Designed the application with deployment and infrastructure considerations.
• Explored the integration of AI services with modern web application architecture.

🔗 Repository:
Virtual-Medical-Assistance-System