SBNSoftware/sbndcode
Jul 2025 – Jan 2026
4 Months active
Languages Used
C++FCLJsonnet
Technical Skills
Configuration ManagementData ConfigurationData ProcessingData Processing ConfigurationDeep Learning IntegrationDetector Simulation
Jacob McLaughlin
PROFILE
Jacob Mclaughlin
Overall Statistics
Feature vs Bugs
53%Features
Repository Contributions
88Total
Bugs
14
Commits
88
Features
16
Lines of code
2,100
Activity Months4
Work History
January 2026
61 Commits • 12 Features
Jan 1, 2026January 2026 performance summary for SBNSoftware/sbndcode focused on delivering key features, stabilizing critical paths, and expanding debugging capabilities to accelerate development cycles. The month combined targeted feature work with a comprehensive set of bug fixes to improve data fidelity, reliability, and developer productivity.
61 Commits • 12 Features
Jan 1, 2026January 2026 performance summary for SBNSoftware/sbndcode focused on delivering key features, stabilizing critical paths, and expanding debugging capabilities to accelerate development cycles. The month combined targeted feature work with a comprehensive set of bug fixes to improve data fidelity, reliability, and developer productivity.
January 2026
December 2025
8 Commits • 2 Features
Dec 1, 2025December 2025: Delivered two major feature sets for SBNDcode, focused on hit/blip reconstruction accuracy and modernization of Pandora/SCE tracking configuration. Implemented targeted fixes to labeling and configuration to reduce drift and improve data quality, while enabling cross-version compatibility between reco1 and reco2. Prepared the reconstruction pipeline for production use by removing deprecated steps and streamlining configurations. These changes enhance data quality, analysis reliability, and maintainability, delivering clear business value and stronger physics output readiness.
December 2025
8 Commits • 2 Features
Dec 1, 2025December 2025: Delivered two major feature sets for SBNDcode, focused on hit/blip reconstruction accuracy and modernization of Pandora/SCE tracking configuration. Implemented targeted fixes to labeling and configuration to reduce drift and improve data quality, while enabling cross-version compatibility between reco1 and reco2. Prepared the reconstruction pipeline for production use by removing deprecated steps and streamlining configurations. These changes enhance data quality, analysis reliability, and maintainability, delivering clear business value and stronger physics output readiness.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 – SBNSoftware/sbndcode: Reintroduced the special blip processing into the reco2 configuration, unlocking enhanced data processing and more reliable event reconstruction. No major bugs fixed this month. Overall impact: stronger data processing pipeline, smoother integration of core features, and demonstrated proficiency in feature delivery and Git-based development. Technologies/skills: C++, SBNDCode framework, Reco2 configuration, Git.
1 Commits • 1 Features
Oct 1, 2025October 2025 – SBNSoftware/sbndcode: Reintroduced the special blip processing into the reco2 configuration, unlocking enhanced data processing and more reliable event reconstruction. No major bugs fixed this month. Overall impact: stronger data processing pipeline, smoother integration of core features, and demonstrated proficiency in feature delivery and Git-based development. Technologies/skills: C++, SBNDCode framework, Reco2 configuration, Git.
October 2025
July 2025
18 Commits • 1 Features
Jul 1, 2025In July 2025, SBNSoftware/sbndcode delivered a major upgrade to the low-threshold data processing workflow, integrating DNN-based ROI support with dual-path (classic and DNN) processing, accompanied by targeted correctness fixes and configuration cleanup. This work stabilizes low-threshold event handling, improves data yield for physics analyses, and enhances maintainability and traceability across the WireCell Toolkit-based workflow.
July 2025
18 Commits • 1 Features
Jul 1, 2025In July 2025, SBNSoftware/sbndcode delivered a major upgrade to the low-threshold data processing workflow, integrating DNN-based ROI support with dual-path (classic and DNN) processing, accompanied by targeted correctness fixes and configuration cleanup. This work stabilizes low-threshold event handling, improves data yield for physics analyses, and enhances maintainability and traceability across the WireCell Toolkit-based workflow.
Activity
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Quality Metrics
Correctness87.4%
Maintainability86.6%
Architecture84.2%
Performance83.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++FCLJsonnet
Technical Skills
Algorithm DesignAlgorithm DevelopmentC++C++ developmentC++ programmingCode RefactoringConfiguration ManagementData AnalysisData ConfigurationData ProcessingData Processing ConfigurationDebuggingDeep Learning IntegrationDetector SimulationLow-Level Detector Simulation
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