Worked on enhancing the NVIDIA/KAI-Scheduler project by focusing on documentation quality and user guidance. Addressed a documentation bug by correcting a typo in the queues README and clarified the requirement for the legacy v1 Kubeflow training operator when scheduling PyTorchJob workloads. These updates aimed to reduce user misconfiguration and streamline onboarding for new users. The work involved editing Markdown files and applying documentation best practices to ensure technical accuracy and clarity. While no new features were developed during this period, the improvements contributed to more reliable deployment experiences for users working with Kubeflow and PyTorchJob scheduling workflows.