
During January 2026, Helma Azouz focused on backend development and data acquisition for the oqc-community/qat repository, addressing a critical data integrity issue in the scope trace collection pipeline. She implemented a Python-based solution that enforced a minimum sample size for scope traces, preventing under-sampling and improving the reliability of acquired data. Her approach included robust unit testing to validate the changes and ensure reproducibility across the pipeline. By aligning code and documentation with data quality standards, Helma enhanced the stability and accuracy of scope trace analytics. This work demonstrated depth in backend engineering and a strong emphasis on data quality.
January 2026 monthly summary for oqc-community/qat. Focused on improving data reliability for scope trace collection by enforcing a minimum sample size, preventing under-sampling and improving data quality. No new features were released this month; the major effort centered on a data integrity bug fix and validation improvements across the data acquisition pipeline.
January 2026 monthly summary for oqc-community/qat. Focused on improving data reliability for scope trace collection by enforcing a minimum sample size, preventing under-sampling and improving data quality. No new features were released this month; the major effort centered on a data integrity bug fix and validation improvements across the data acquisition pipeline.

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