JeffersonLab/coatjava
Jan 2025 – Apr 2025
3 Months active
Languages Used
DockerfileYAMLJava
Technical Skills
CI/CDDockerGitLab CIContainerizationData DecodingJava Development
Whitney Armstrong
PROFILE
Whitney Armstrong
Whit contributed to JeffersonLab/coatjava by developing features that enhanced data processing and deployment workflows. Over three months, Whit integrated a shared alert system using GitLab CI and Docker, improving build reliability and alerting capabilities. They expanded the data decoding path to support Petiroc timestamp and trigger data, updating Java models for finer event granularity and enabling reproducible HPC deployments through Apptainer container integration. Whit also delivered the ALERT Engine for multi-detector data reconstruction, refactoring core modules and introducing new classes to combine ATOF and AHDC data. Their work demonstrated depth in backend development, containerization, and continuous integration practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
1,237
Activity Months3
Your Network
36 people
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for JeffersonLab/coatjava. Key feature delivered this month is the ALERT Engine for Multi-Detector Data Reconstruction, enabling the seamless combination of ATOF and AHDC reconstruction data in a single workflow. The effort included code refactors, the introduction of new classes for bank writing and track projection, and CI updates to support the new engine. This lays groundwork for more cohesive detector data integration and improved reconstruction fidelity across subsystems.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for JeffersonLab/coatjava. Key feature delivered this month is the ALERT Engine for Multi-Detector Data Reconstruction, enabling the seamless combination of ATOF and AHDC reconstruction data in a single workflow. The effort included code refactors, the introduction of new classes for bank writing and track projection, and CI updates to support the new engine. This lays groundwork for more cohesive detector data integration and improved reconstruction fidelity across subsystems.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for JeffersonLab/coatjava. Key achievements: Petiroc timestamp and trigger data support added to the data decoding path, with Java models updated to store/process the new fields for better event granularity. CoatJava Apptainer container integration established, with Dockerfile and GitLab CI updates to build and manage Apptainer images for HPC environments. Major bugs fixed: none reported this month. Overall impact: improved data fidelity and reproducible HPC workflows, enabling more precise analysis and scalable deployment. Technologies demonstrated: Java data modeling and data decoding enhancements; containerization with Apptainer/Docker; CI/CD with GitLab; and HPC deployment expertise.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for JeffersonLab/coatjava. Key achievements: Petiroc timestamp and trigger data support added to the data decoding path, with Java models updated to store/process the new fields for better event granularity. CoatJava Apptainer container integration established, with Dockerfile and GitLab CI updates to build and manage Apptainer images for HPC environments. Major bugs fixed: none reported this month. Overall impact: improved data fidelity and reproducible HPC workflows, enabling more precise analysis and scalable deployment. Technologies demonstrated: Java data modeling and data decoding enhancements; containerization with Apptainer/Docker; CI/CD with GitLab; and HPC deployment expertise.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 — Focused on strengthening alerting capabilities and build reliability for JeffersonLab/coatjava. Delivered alert system integration via a downstream pipeline trigger and updated Coatjava build to remove the --nomaps flag in Dockerfile, improving container compatibility and runtime behavior. These changes, together with CI pipeline updates, reduced deployment friction and enhanced maintainability.
1 Commits • 1 Features
Jan 1, 2025January 2025 — Focused on strengthening alerting capabilities and build reliability for JeffersonLab/coatjava. Delivered alert system integration via a downstream pipeline trigger and updated Coatjava build to remove the --nomaps flag in Dockerfile, improving container compatibility and runtime behavior. These changes, together with CI pipeline updates, reduced deployment friction and enhanced maintainability.
January 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
DockerfileJavaYAML
Technical Skills
Backend DevelopmentCI/CDContainerizationData DecodingData ReconstructionDetector PhysicsDockerFull Stack DevelopmentGitLab CIJava Development
Repositories Contributed To
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