Cloud Infrastructure & DevOps Engineer

Cloud Infrastructure • DevOps • Backend Engineering • Production Deployments

+91-9924273721 patelvatsalmanojbhai1999@gmail.com Bharuch, Gujarat vatsalmpatel.online

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

AWS EC2 AWS S3 CloudFront IAM Route 53 Security Groups Lightsail CloudWatch GCP Compute Engine GCP Cloud Functions Firebase Hosting Render Vercel

Linux & Infrastructure

Ubuntu Server SSH / SCP / SFTP Nginx DNS Configuration SSL/TLS Custom Domains PM2 Gunicorn Uvicorn systemd

Containers, CI/CD & Automation

Docker Docker Compose Docker Hub GitHub Actions CI/CD Bash Python Automation

Backend Development

Python Flask FastAPI Node.js REST APIs WebSockets

Databases, AI & Developer Tools

PostgreSQL MySQL MongoDB Redis DynamoDB Git GitHub Postman Hugging Face Inference API GitHub Copilot Claude AI Stitch

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