pipeline: portfolio / stage: intro
Amaresh Kumar
Quality Analyst @ Amazon
Aspiring AWS Cloud & DevOps Engineer skilled in containerizing and deploying full-stack apps on AWS EC2 with Docker, GitHub Actions, and Shell scripting — brings troubleshooting and root-cause analysis skills from professional experience at Amazon.
amaresh@devops:~$ whoami
core toolset
featured projects
Automated CI/CD Pipeline for Website Deployment (Brew & Chill)
Built an automated CI/CD pipeline using GitHub Actions to deploy a website to an AWS EC2 instance on every push to main. Configured secure SSH key-based authentication and GitHub Secrets for automated deployments, and wrote shell scripts (deploy.sh, healthcheck.sh) to automate deployment, restart Nginx, and verify application health. Configured Nginx with a custom subdomain and secured it with Let's Encrypt SSL, eliminating manual deployments entirely.
Containerized Deployment & Infrastructure Debugging (Antigravity Wholesale)
Containerized a full-stack wholesale application (React, FastAPI, MongoDB) using Docker and Docker Compose for multi-container deployment. Deployed to AWS EC2 with a live production domain using Docker networking, persistent volumes, and Linux administration. Built a GitHub Actions CI/CD pipeline to auto-deploy every push to main with deployment health checks, and automated EC2 provisioning with Bash scripts to install Docker, configure swap memory, and prepare the environment. Resolved production issues involving Docker builds, memory, disk space, and environment configuration.
recent experience
Quality Analyst · Amazon
September 2025 – PresentFull-time
- Investigated delivery and return defects across multiple regions by analyzing operational data and identifying root causes to ensure accurate case resolution.
- Evaluated failure patterns across large datasets using multiple internal tools to support quality objectives and operational decision-making.
- Applied structured problem-solving to ambiguous, complex cases — determining appropriate resolutions based on documented processes and data interpretation.