Cloud Infrastructure & DevOps Engineer
Cloud Infrastructure • DevOps • Backend Engineering • Production Deployments
About Me
Cloud Infrastructure and DevOps Engineer with 4+ years of software development experience spanning cloud deployment, Linux system administration, production support, and backend engineering. Started as a backend developer and gradually transitioned toward cloud infrastructure, application deployment, production support, and server administration.
☁️ What I Do Best
- Cloud infrastructure and production application deployments
- AWS EC2, S3, CloudFront, IAM, Route 53 and Security Groups
- GCP Compute Engine, Cloud Functions and Linux VPS environments
- Ubuntu server administration, Nginx, SSL/TLS and DNS configuration
- Docker, PM2, Gunicorn, Uvicorn and systemd
- Deployment automation and foundational GitHub Actions workflows
- Production troubleshooting, release validation and application support
🏆 Key Highlights
- 18+ successful production deployments across AWS, GCP, Linux VPS, Firebase Hosting, Render and Vercel.
- Owned production deployments across AWS, GCP and Linux VPS environments.
- Configured EC2, Nginx reverse proxies, SSL certificates, DNS records and custom domains.
- Supported containerized deployments using Docker and production troubleshooting.
- Automated repetitive build and deployment tasks using scripts and GitHub Actions.
- Automated image processing for 1,000+ images using Bash, Python and FFmpeg.
🚀 Current Hands-on Development
- CI/CD automation
- Kubernetes
- Advanced AWS architecture
- ELK Stack
- Infrastructure automation
- Jenkins and Ansible
🧩 Technical Strength
Combining backend development experience with hands-on cloud infrastructure, deployment, Linux administration, containerization, troubleshooting, and production support.
Technical Skills
Technologies and tools reflected in my current Cloud Infrastructure & DevOps resume.
Cloud Platforms
Linux & Infrastructure
Containers, CI/CD & Automation
Backend Development
Databases, AI & Developer Tools
Projects
Practical cloud, deployment, backend, and AI projects aligned with my current technical direction.
Personal Portfolio Website
- Designed and developed a responsive personal portfolio website with a custom domain and two subdomains.
- Configured Firebase Hosting, DNS, SSL, and domain routing for the production deployment.
AI SaaS Platform (In Progress)
- Designing and developing an AI-powered SaaS application from concept to deployment.
- Prototyped UI flows using Stitch.
- Will build backend services with FastAPI and Docker.
- Planning AWS deployment with custom domain hosting and Hugging Face Inference API integration.
Production-Style AWS Three-Tier Application
- Built a production-style AWS environment using VPC, EC2, RDS, ALB, and security groups.
- Configured NGINX, HTTPS, Route 53, and application-level access controls.
- Containerized the backend with Docker and implemented logging and health checks.
- Documented deployment, troubleshooting, and rollback procedures.
Dockerized FastAPI CI/CD on AWS
- Containerized a FastAPI application using Docker and deployed it on AWS ECS/Fargate.
- Automated build and deployment workflows using GitHub Actions and Amazon ECR.
- Implemented environment-based configuration, health checks, and deployment validation.
- Configured CloudWatch logging and basic application monitoring.
AWS Infrastructure Automation with Terraform
- Provisioned AWS infrastructure using Terraform and Infrastructure as Code practices.
- Automated networking, EC2, security groups, and application infrastructure.
- Structured Terraform configuration using variables, outputs, and reusable components.
- Documented infrastructure provisioning, deployment, and teardown workflows.
Professional Experience
A visual overview of my career progression from software development and backend engineering to cloud infrastructure, production deployments, Linux administration, and DevOps-focused work.
Education & Certifications
Formal education and selected professional learning relevant to cloud, Linux, AI, and software engineering.
Education
Bachelor of Engineering – Information Technology
Shri Sad Vidya Mandal Institute of Technology (GTU)
2016 - 2020 | CGPA: 8.46
Certifications
AWS
Cloud Practitioner Essentials | Compute & Storage Fundamentals | Generative AI
Linux Foundation
Introduction to Linux (LFS101)
Hugging Face
AI Agents Fundamentals
Be10x
AI Tools Workshop | 10X Techies Workshop