Worked on the oqc-community/qat repository to enhance the reliability of data acquisition for scope trace analytics. Focused on backend development using Python, the main contribution involved enforcing a minimum sample size during data collection to prevent under-sampling and ensure consistent data quality. Addressed a data integrity bug by stabilizing acquisition parameters, which reduced variance and improved the reproducibility of results across the pipeline. Emphasized robust unit testing and thorough documentation updates to align with evolving data quality standards. No new features were introduced during this period, with efforts concentrated on maintaining and validating the integrity of the data acquisition process.