
Build a strong AI Platform portfolio with 5 real-world projects covering AI infrastructure, deployment, scaling, and Production practices.
You’ll get:
Project 1- Serving an open source model on GPU using vLLM on Kubernetes
Project 2- Event-Driven Autoscaling (KEDA) implemented on opensource LLMs.
Project 3- Serving two models on a Single GPU using TimeSlicing (with Canary deployments, argo rollouts)
Project 4- Multi-tenant Sovereign RAG
Project 5- End to end Banking Agent Platform with MCP, Evaluation, Tracing, Blue-Green Deployments.
Designed for DevOps, Cloud, MLOps, and AI engineers who want hands-on Projects they can build, understand, and confidently discuss in interviews.