Worked on repository hygiene and asset management for the intel/AI-PC-Samples project, focusing on removing unused AI model assets to improve maintainability. The primary contribution involved deleting the AI-Upscaling-With-NPU/models directory and the BSRGANx4.safetensors file, which reduced storage requirements and minimized confusion in build artifacts. Emphasized clear, traceable commit messages to support future audits and onboarding. Utilized Git for version control and asset tracking, with a focus on Python-based model management workflows. No critical bugs were addressed during this period, as the work centered on streamlining the repository structure and ensuring a cleaner, more manageable codebase for future development.