I built a containerized system health dashboard that tracks CPU, memory, and system metrics, then deployed it on Kubernetes with horizontal scaling and fault tolerance. Its GitHub Actions pipeline automated build, test, and deploy stages, reducing deployment time from about 15 minutes to under 3 minutes per commit.
On my AWS production-style VPC project, I configured networking across two Availability Zones, private EC2 instances, an Application Load Balancer, and Auto Scaling. I’m a Computer Science undergraduate with project experience across AWS, GCP, and Azure, and Google Cloud and IBM certifications in cloud and container technologies.

