Developed and delivered a comprehensive satellite image classification tutorial using EfficientNet within the unionai-docs repository, detailing the full training pipeline and model evaluation process. Focused on enhancing documentation quality and consistency, this work included updating doc fragments, standardizing naming conventions, and improving syntax across both unionai-docs and unionai-examples. Collaborated across repositories to align documentation frameworks, supporting better onboarding and long-term maintenance. Utilized Python, PyTorch, and Markdown to implement these changes, addressing both feature development and bug fixes. The contributions emphasized clear, maintainable documentation and practical machine learning guidance, directly improving end-user value and developer productivity within the project ecosystem.