Developed and delivered a targeted enhancement for the nod-ai/ADA repository, focusing on improving diagnostic data collection for AMDGPU platforms. Using Shell scripting and system administration skills, implemented output suppression in the log collection script by adding the silent flag to all curl commands. This approach reduced unnecessary progress statistics, resulting in cleaner diagnostic logs and facilitating faster, more accurate triage and regression analysis. The work improved the stability and reliability of data collection processes, enhancing the quality of analytics and downstream parsing. The contribution addressed a specific need for noise reduction in diagnostic outputs, supporting more efficient system maintenance.