I design cloud infrastructure, automate deployments, and ship distributed systems that stay up. Most recently I built and shipped AuctionXI — a real-time auction platform running on Kubernetes with a full GitOps pipeline.
I'm a final-year Computer Science student focused on Cloud Computing, DevOps, Platform Engineering, and MLOps. Over the last few months I've been building production-style cloud-native applications on AWS, automating infrastructure with Terraform, and running everything through Kubernetes and GitOps pipelines with ArgoCD.
Lately I've also picked up Go — writing backend services with Gin, JWT auth, and a clean repository/service-layer architecture — and used it to build my flagship project, AuctionXI. On the side, I'm exploring MLOps (MLflow, DVC, Prometheus/Grafana) and the basics of LLMOps — RAG systems and containerized AI workloads.
What I enjoy most is the systems side of engineering: designing infrastructure that's reproducible, automating the boring parts of deployment, and building services that hold up under real traffic.
Organized the way I actually use them — by layer of the stack.
From a production-style Kubernetes platform to MLOps pipelines and Android apps.
A cloud-native football auction platform inspired by fantasy sports and football management games. Users join live player auctions with real-time WebSocket bidding, build a squad under a budget cap, and get ranked on team composition and performance — all backed by a Go API and deployed through a full GitOps pipeline on Kubernetes.
Backend service with clean architecture, pushed to GitHub.
Build, test, and package the application on every push.
Image built and pushed to Amazon ECR.
Detects the new image and syncs the cluster state automatically.
Terraform-provisioned EC2 running a K3s Kubernetes cluster.
NGINX Ingress with Cert-Manager & Let's Encrypt, serving a custom domain.
A production-grade MLOps pipeline using DVC for data/model versioning, MLflow + DagsHub for experiment tracking, and LIME for explainability. Containerized and deployed on AWS EKS with Prometheus + Grafana, automated via GitHub Actions.
Built Jenkins pipelines to containerize a Zoom-like video app, push images to DockerHub/ECR, and roll out the build on AWS — standardizing Dockerization and infrastructure scripts across environments.
A 3-tier app — React, FastAPI, and PostgreSQL (Supabase) — with JWT auth, RBAC, and wallet transactions. Runs locally via Docker Compose and is EKS-ready through Helm charts and ArgoCD (GitOps), with observability via Prometheus, Grafana, and OpenTelemetry (Jaeger).
An Android app built in Java using a third-party REST API to surface real-time movie data, with a modular architecture and local caching to cut down on redundant network calls.
Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded
2022 — 2026Microsoft