During April 2025, Muhammad delivered comprehensive README documentation and usage guidance for the addff/2503-ITT440 repository, focusing on the imgaug image augmentation library. He consolidated technical content covering augmentation techniques, annotation support, and integration with deep learning frameworks, using Python and Markdown to ensure clarity and maintainability. His work included practical usage examples and detailed explanations of bounding box augmentation, directly addressing onboarding challenges and reducing support overhead. By committing four traceable updates, Muhammad demonstrated strong technical writing and documentation skills, producing in-depth resources that help users understand and effectively leverage imgaug in their workflows while supporting long-term project maintainability.