Worked on the NVIDIA/GenerativeAIExamples repository to enhance the clarity of model deployment configurations by updating customizer naming conventions to reference GPU memory instead of SKU. Focused on documentation improvements, the work aimed to reduce configuration errors and align terminology with GPU-centric standards, supporting maintainability for future features. Leveraged Python and data science expertise to ensure that configuration names accurately reflected hardware requirements, making it easier for users to select appropriate resources. No major code changes or bug fixes were required during this period, as the primary contribution centered on documentation hygiene and repository governance within a machine learning context.