Worked on the kubernetes/autoscaler repository to deliver a cost-optimization feature that changes the default cluster-autoscaler expander from random to least-waste. This adjustment reduces the likelihood of provisioning expensive nodes and enhances the predictability of autoscaling behavior. The technical approach involved updating the default flag value in Go, revising documentation and FAQs in Markdown, and ensuring the new behavior aligns with cost-efficiency goals. No major bugs were addressed during this period, as the focus remained on feature development. The work leveraged skills in Cloud Computing, DevOps, and Kubernetes to improve the reliability and cost-effectiveness of cluster management.