I'm a second-year CS student (AI & DS) at IIIT Kottayam focused on building scalable, automated, and reliable systems — turning manual workflows into efficient, observable pipelines.
- ☸️ Built and deployed a production-grade Kubernetes platform on AWS using Terraform, Amazon EKS, ArgoCD, and Prometheus
- 🍽️ Containerized and deployed a production app serving my college's 3,000+ students
- 🚀 NASA Space Apps Challenge Global Nominee — among 57,000+ participants
- 🌱 Currently going deeper on GitOps, observability, and platform engineering
💡 Open to collaborating on: DevOps & Cloud projects · CI/CD automation · Docker & Kubernetes deployments · Infrastructure as Code (Terraform / Ansible)
☸️ Kube-Pilot — Production-Grade Kubernetes Platform on AWS
Terraform·Amazon EKS·ArgoCD·Prometheus·Grafana·Loki·Kyverno·GitHub Actions
Self-bootstrapping VPC and EKS infrastructure as reusable Terraform modules — full cluster provisioning in a single hands-off script (~15–20 min). GitOps continuous delivery with ArgoCD (App-of-Apps), cluster-wide security via 5 Kyverno admission policies, a full observability stack (Prometheus/Grafana/Loki), and validated horizontal autoscaling (1→5 pods) under k6 load tests.
🍽️ Feaston — Production Mess Coupon Management System
Docker·PostgreSQL·Linux·Bash·Networking
Dockerized full-stack web app deployed on the college Linux server, issuing meal coupons for 3,000+ students. Handles bursty, event-driven load (near-idle baseline spiking to 2,000+ concurrent users in a 1–2 hour window) using rate limiting and PostgreSQL indexing to stay stable under concurrent-login bursts.
🛰️ Nlarge — Space Data Analysis Platform · NASA Space Apps Challenge 2024
Docker·Python·Image Processing
Designed the solution architecture and containerized the full stack for a 6-member team — earning Global Nominee status among 57,000+ participants. Built Python image-processing pipelines to analyze NASA space-imagery datasets.
Languages
Cloud & Containers
IaC, GitOps & Security
CI/CD & Observability
Tools & Platforms
