
Diego Stocco enhanced the reliability of MID reject list generation in the AliceO2Group/AliceO2 repository by refactoring the QA pipeline to better handle end-of-run edge cases and detect switched-off boards using end-of-quality-period data. He removed unnecessary time margins and extracted run numbers directly from QC metadata, resulting in more accurate and robust reject lists that stabilize downstream dashboards. In AliceO2Group/O2DPG, Diego automated MID calibration QC parsing by integrating the Apricot tool into shell scripts, streamlining QC data processing. His work demonstrated depth in C++ development, calibration, and shell scripting, laying groundwork for scalable and maintainable calibration pipelines.

February 2025 monthly summary for AliceO2Group/O2DPG: Delivered automation enhancement for MID calibration QC parsing by integrating the Apricot tool into the QC workflow. Updated shell script to invoke add_QC_from_apricot, enabling automated QC data processing for MID calibration. Demonstrated proficiency in shell scripting, workflow automation, and version control; groundwork laid for scalable calibration data pipelines.
February 2025 monthly summary for AliceO2Group/O2DPG: Delivered automation enhancement for MID calibration QC parsing by integrating the Apricot tool into the QC workflow. Updated shell script to invoke add_QC_from_apricot, enabling automated QC data processing for MID calibration. Demonstrated proficiency in shell scripting, workflow automation, and version control; groundwork laid for scalable calibration data pipelines.
Month: 2024-11 — AliceO2Group/AliceO2: Focused on reliability improvements for the MID reject list generation in the QA pipeline. The refactor addresses end-of-run edge cases, detects switched-off boards at the end of the quality period, removes unnecessary time margins, and extracts run numbers directly from QC metadata to produce a more accurate and robust reject list. This work reduces false positives/negatives and stabilizes downstream QA dashboards and reporting.
Month: 2024-11 — AliceO2Group/AliceO2: Focused on reliability improvements for the MID reject list generation in the QA pipeline. The refactor addresses end-of-run edge cases, detects switched-off boards at the end of the quality period, removes unnecessary time margins, and extracts run numbers directly from QC metadata to produce a more accurate and robust reject list. This work reduces false positives/negatives and stabilizes downstream QA dashboards and reporting.
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