eic/EICrecon
Nov 2025 – Apr 2026
3 Months active
Languages Used
C++
Technical Skills
C++ programmingalgorithm optimizationmemory managementC++ developmentdata processingsoftware engineering
Sakib Rahman
PROFILE
Sakib Rahman
Over a three-month period, this developer contributed to the eic/EICrecon repository by building features and resolving bugs focused on performance, data integrity, and stability. They implemented a memory-optimized particle filtering capability using C++ and algorithm optimization, introducing a configurable generator status filter that reduced memory usage during event processing. Their work also enhanced data provenance by ensuring run-level metadata was preserved in EDM4hep I/O, improving reproducibility for downstream analyses. Additionally, they addressed a segmentation fault risk by stabilizing PODIO output, exporting necessary collections to prevent crashes. Their contributions demonstrated strong skills in C++ development, data processing, and software debugging.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
72
Activity Months3
Your Network
18 peopleSame Organization
@myumanitoba.ca1
Work History
April 2026
1 Commits
Apr 1, 2026Summary for 2026-04: Implemented a critical PODIO output stability fix in eic/EICrecon to prevent segmentation faults when exporting event truth seeds. By exporting TrackTruthSeeds and TrackTruthSeedParameters alongside their parent collections, dereferencing of subset collections (e.g., B0TrackerTruthSeeds, CentralTrackerTruthSeeds) is now safe, stabilizing podio-dump usage and related EDM4EIC printing paths. This change, tied to the commit 94a9995fea443e2834d15304ed2fb8be89bd3064 (PR: Add TrackTruthSeeds to PODIO output to fix segfault in podio-dump #2596), improves reliability of data export pipelines and downstream analytics.
1 Commits
Apr 1, 2026Summary for 2026-04: Implemented a critical PODIO output stability fix in eic/EICrecon to prevent segmentation faults when exporting event truth seeds. By exporting TrackTruthSeeds and TrackTruthSeedParameters alongside their parent collections, dereferencing of subset collections (e.g., B0TrackerTruthSeeds, CentralTrackerTruthSeeds) is now safe, stabilizing podio-dump usage and related EDM4EIC printing paths. This change, tied to the commit 94a9995fea443e2834d15304ed2fb8be89bd3064 (PR: Add TrackTruthSeeds to PODIO output to fix segfault in podio-dump #2596), improves reliability of data export pipelines and downstream analytics.
April 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 focused on enhancing data provenance by delivering run-level metadata preservation in EDM4hep I/O for eicrecon. The feature reads run-level frames from input files and writes them to the output, ensuring critical metadata (SignalFile, SignalFrequency, BackgroundConfig, IntegrationWindow) is preserved in the eicrecon output. This work reduces manual metadata configuration, improves reproducibility for downstream analyses and simulations (e.g., npsim), and aligns with metadata standards across the pipeline.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 focused on enhancing data provenance by delivering run-level metadata preservation in EDM4hep I/O for eicrecon. The feature reads run-level frames from input files and writes them to the output, ensuring critical metadata (SignalFile, SignalFrequency, BackgroundConfig, IntegrationWindow) is preserved in the eicrecon output. This work reduces manual metadata configuration, improves reproducibility for downstream analyses and simulations (e.g., npsim), and aligns with metadata standards across the pipeline.
November 2025
1 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11: Performance-focused update in eic/EICrecon delivering a memory-optimized particle filtering capability. Introduced a configurable filter by generator status that substantially reduces memory usage during event processing. The change adds a new m_max_gen_status parameter to the UndoAfterBurner algorithm (default 1000, -1 to disable limit) and exposes it through the factory for runtime configuration. In tests with merged background events, memory consumption was reduced by approximately 5x, enabling processing of larger datasets with improved throughput. The feature is designed to be non-breaking and user-configurable, with a usage example provided for operators. This work demonstrates solid C++ development, runtime configurability, and alignment with performance and scalability goals.
1 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11: Performance-focused update in eic/EICrecon delivering a memory-optimized particle filtering capability. Introduced a configurable filter by generator status that substantially reduces memory usage during event processing. The change adds a new m_max_gen_status parameter to the UndoAfterBurner algorithm (default 1000, -1 to disable limit) and exposes it through the factory for runtime configuration. In tests with merged background events, memory consumption was reduced by approximately 5x, enabling processing of larger datasets with improved throughput. The feature is designed to be non-breaking and user-configurable, with a usage example provided for operators. This work demonstrates solid C++ development, runtime configurability, and alignment with performance and scalability goals.
November 2025
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance86.6%
AI Usage60.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++ developmentC++ programmingalgorithm optimizationdata processingmemory managementsoftware debuggingsoftware engineering
Repositories Contributed To
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