Worked on the aws/karpenter-provider-aws repository to deliver a targeted documentation update clarifying the order in which Karpenter relaxes preferred affinities during scheduling. This update aligned the documentation with actual runtime behavior, reducing onboarding friction and minimizing misconfigurations for operators. The work demonstrated a strong understanding of Kubernetes scheduling concepts and cloud computing, as well as proficiency in Markdown for technical documentation. Collaboration within the Karpenter ecosystem and use of Git-based workflows ensured the changes were well-integrated and maintainable. The result was clearer guidance for users and improved consistency in the documentation, supporting more efficient operator onboarding and system maintenance.