Hii! I'm Ashwath
Cloud Engineer
with a focus on
AWS Cloud Infrastructure
Cloud and DevOps practitioner focused on AWS infrastructure and containerized applications. Exploring automation tools and gaining experience with GCP and Azure environments. ✦
Experience & Education
DevOps Intern
ARCHON Platform 3 Solutions
- Streamlined deployment processes by containerizing applications with Docker and establishing automated CI/CD pipelines alongside Terraform-based infrastructure.
- Architected and managed scalable cloud environments on AWS, utilizing core services like EC2, S3, IAM, and VPC.
- Maintained robust system performance through hands-on Linux administration, server configuration, networking, and user management.
- Built monitoring and visualization dashboards using Prometheus and Grafana.
Testing Intern
SARSE Technologies
- Tested the VOTO Ecommerce Web Application to ensure smooth functionality and a seamless user experience.
- Created and executed test cases for product browsing, cart, checkout, and payment flows.
- Identified and reported bugs, collaborating with developers to resolve issues efficiently.
- Performed re-testing to verify all fixes were stable and deployment-ready.
Masters in Computer Applications
Sathyabama University
B.Sc Computer Science
Vels University
Selected Projects
AWS Cloud Infrastructure with EC2, ALB & S3
A production-ready AWS setup using Terraform IaC — VPC networking, multi-AZ EC2 instances behind an Application Load Balancer, and S3 storage with a full Node.js + React stack.
- VPC with public subnets across two availability zones for fault tolerance.
- Application Load Balancer with health checks routing to Dev and Prod EC2 instances.
- Layered security groups — EC2 accepts traffic only from the ALB, never directly.
- Full Terraform IaC: reproducible, version-controlled infrastructure deployable in minutes.
- ECS Fargate services with RDS PostgreSQL and ElastiCache Redis in private subnets.
- CI/CD pipeline with GitHub Actions for automated Docker build and ECR push.
Metadata-Driven CI/CD Pipeline
A Jenkins CI/CD pipeline that validates required project files before deployment. Configuration is read from metadata.json, Docker images are built versioned, and the app is served via an NGINX container.
- Fail-fast Python validator checks required files before any build step runs.
- Metadata-driven port config in JSON — no hardcoded values inside the Jenkinsfile.
- Versioned Docker images tagged with Jenkins BUILD_NUMBER for easy rollbacks.
- NGINX Alpine container keeps the image lightweight and the deployment fast.
- Automatic old-container cleanup before each new deployment to avoid name conflicts.
Prometheus & Grafana Monitoring Stack
A containerized observability stack that scrapes Node Exporter metrics from two remote instances, visualizes them in Grafana, and fires Prometheus alerts for CPU, memory, disk, and availability thresholds.
- Prometheus scrapes two Node Exporter targets every 15 seconds with labeled instance names.
- Pre-built Grafana dashboard auto-provisioned via config — zero manual setup on first run.
- Alert rules for high CPU, memory, disk usage (>85%) and unreachable exporters.
- 15-day metric retention with configurable environment variables and hot-reload support.
- Node Exporter install script sets up a systemd service on remote instances in one command.
ECOMMERCE WEBSITE FOR GAMING ACCESSORIES
A responsive ecommerce experience for gaming accessories with product discovery, cart flows, checkout simulation, and a gamer-focused dark interface.
- Efficient product search and categorization system for gaming gear.
- Interactive UI components with smooth gaming-inspired animations.
- High-performance shopping cart with real-time inventory updates.
- Integrated secure payment gateway simulation for seamless checkout.
- User-centric dark theme optimized for long-session gaming enthusiasts.
- Responsive layout ensuring compatibility across device sizes.
AI Resume & ATS Analyzer
A Dockerized resume analysis tool that parses resumes, scores ATS fit against job descriptions, and provides targeted improvement feedback.
- Core NLP algorithms for deep resume parsing and analysis.
- Intelligent ATS score calculation based on job descriptions.
- Personalized skill gap analysis with improvement recommendations.
- Production-ready Docker environment for scalable deployment.
- Intuitive data visualization for resume performance metrics.
- Automated feedback generation for resume tailoring.
Sathyabama AI Chatbot
An academic inquiry chatbot for university students with a Flask backend, Groq-powered responses, and context-aware university-specific answers.
- Large Language Model integration using Groq.
- Real-time academic inquiry handling for university students.
- Multi-turn conversation management for complex user queries.
- Context-aware response generation with university-specific data.
- Modern glass-style UI for enhanced user engagement.
- Optimized backend architecture for low-latency response delivery.
Get In Touch
Whether you have a question, a project idea, or just want to say hi, I'll try my best to get back to you!