ProteoWizard/pwiz
Jun 2025 – Aug 2025
3 Months active
Languages Used
C#
Technical Skills
API DesignC#Code RefactoringError HandlingObject-Oriented ProgrammingRefactoring
David Shteynberg
PROFILE
David Shteynberg
Over three months, Daniel Shteyn developed and modernized core components of the ProteoWizard/pwiz repository, focusing on the AlphaPeptDeep library builder. He engineered a unified modification support system spanning MS2, retention time, and CCS prediction models, introducing tiered support levels and robust validation logic. Using C# and advanced object-oriented design, Daniel refactored modification handling for performance, maintainability, and testability, migrating internal structures to dictionaries for faster lookups and streamlining input preparation. His work emphasized code review-driven improvements, comprehensive unit testing, and enhanced CI reliability, resulting in clearer user-facing warnings and a more reliable, scalable library-building pipeline for proteomics workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
18Total
Bugs
0
Commits
18
Features
6
Lines of code
18,891
Activity Months3
Your Network
22 peopleSame Organization
@proteinms.net5
Work History
August 2025
5 Commits • 1 Features
Aug 1, 20252025-08 Monthly summary for ProteoWizard/pwiz focusing on delivering a cohesive, performant Modification Support and Prediction Integration, improving reliability and maintainability while driving testability and user-facing warnings. The work consolidated and refactored modification handling in the library builder, enabling faster lookups, clearer initialization paths, and robust validation, aligned with Nick's code-review guidance and TC-test feedback.
5 Commits • 1 Features
Aug 1, 20252025-08 Monthly summary for ProteoWizard/pwiz focusing on delivering a cohesive, performant Modification Support and Prediction Integration, improving reliability and maintainability while driving testability and user-facing warnings. The work consolidated and refactored modification handling in the library builder, enabling faster lookups, clearer initialization paths, and robust validation, aligned with Nick's code-review guidance and TC-test feedback.
August 2025
July 2025
8 Commits • 4 Features
Jul 1, 2025July 2025: Delivered a significant modernization of core library components in ProteoWizard/pwiz, focusing on cross-model compatibility, performance, and test quality. All changes are designed to improve reliability, scalability, and speed of library building and modification support across MS2, Retention Time, and CCS prediction models.
July 2025
8 Commits • 4 Features
Jul 1, 2025July 2025: Delivered a significant modernization of core library components in ProteoWizard/pwiz, focusing on cross-model compatibility, performance, and test quality. All changes are designed to improve reliability, scalability, and speed of library building and modification support across MS2, Retention Time, and CCS prediction models.
June 2025
5 Commits • 1 Features
Jun 1, 2025June 2025: Focused on enhancing the ProteoWizard/pwiz integration by refining modification handling in the AlphaPeptDeep library builder and strengthening test and CI reliability. Delivered a tiered modification support model and supporting utilities, upgraded tests, and improved runtime behavior through caching and compatibility fixes. Result: clearer guidance on modification capabilities, more accurate model-building, and a more stable development pipeline.
5 Commits • 1 Features
Jun 1, 2025June 2025: Focused on enhancing the ProteoWizard/pwiz integration by refining modification handling in the AlphaPeptDeep library builder and strengthening test and CI reliability. Delivered a tiered modification support model and supporting utilities, upgraded tests, and improved runtime behavior through caching and compatibility fixes. Result: clearer guidance on modification capabilities, more accurate model-building, and a more stable development pipeline.
June 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.6%
Architecture84.4%
Performance82.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#
Technical Skills
API DesignC#Code MaintainabilityCode RefactoringCode Review ImplementationCode SimplificationData StructuresError HandlingLibrary DevelopmentObject-Oriented DesignObject-Oriented ProgrammingPerformance OptimizationRefactoringResource ManagementSoftware Design Patterns
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