ls1intum/Artemis
May 2025 – Oct 2025
4 Months active
Languages Used
HTMLJavaTypeScriptPython
Technical Skills
AngularBackend DevelopmentFrontend DevelopmentJavaAPI DesignDTO Pattern
Le Zhen
PROFILE
Le Zhen
Ge63nax contributed to the ls1intum/Artemis repository by delivering targeted improvements to data integrity, API design, and reporting reliability. Over four months, they refactored core API endpoints using Java and TypeScript, introducing Data Transfer Objects to standardize data flow and prevent circular references. Their work included backend enhancements to grading and attendance analytics, ensuring accurate calculations and robust numeric input handling. Ge63nax also implemented null-safe update logic for user profile images, reducing data loss risks. By developing Python scripts for code analysis and DTO coverage, they enabled safer API evolution and streamlined integration, demonstrating depth in backend and API architecture.
Overall Statistics
Feature vs Bugs
40%Features
Repository Contributions
6Total
Bugs
3
Commits
6
Features
2
Lines of code
1,109
Activity Months4
Your Network
41 people
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 | Repository: ls1intum/Artemis | Focus: API boundary standardization for TutorParticipation endpoints and DTO-driven architecture.
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 | Repository: ls1intum/Artemis | Focus: API boundary standardization for TutorParticipation endpoints and DTO-driven architecture.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered API refactor focused on reaction-related data handling in the Artemis repository, introducing a DTO-based data flow to improve maintainability and data integrity. The work lays groundwork for robust API contracts and easier future enhancements.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered API refactor focused on reaction-related data handling in the Artemis repository, introducing a DTO-based data flow to improve maintainability and data integrity. The work lays groundwork for robust API contracts and easier future enhancements.
July 2025
1 Commits
Jul 1, 2025Month: 2025-07 | Focus: stability and data integrity in user profiles for Artemis. Delivered a critical bug fix that prevents accidental deletion of user images when updating profile information. No new features deployed this month; primary deliverable was a robust guard around the image URL update with null-checks, improving reliability and data safety for end users.
1 Commits
Jul 1, 2025Month: 2025-07 | Focus: stability and data integrity in user profiles for Artemis. Delivered a critical bug fix that prevents accidental deletion of user images when updating profile information. No new features deployed this month; primary deliverable was a robust guard around the image URL update with null-checks, improving reliability and data safety for end users.
July 2025
May 2025
2 Commits
May 1, 2025May 2025 summary — Artemis (ls1intum): Delivered two critical bug fixes that significantly improved data accuracy and reporting reliability. Grading System: corrected rounding and interval display by using raw numeric inputs and precise interval calculations, ensuring accurate upper/lower bound updates. Attendance reporting: refactored average attendance to exclude canceled sessions and entries without counts, boosting reporting reliability. Impact: more trustworthy grading and attendance analytics, reduced need for manual corrections, and improved data integrity for instructors and administrators. Technologies/skills demonstrated: robust numeric input handling, interval-based calculation logic, and data filtering applied to core reporting paths in Artemis. Commits touched: 61c1cd8ab44e964e06f743ce64267b49db71d955; b1739170bdd6f455cc71a68205c630c0e7af9dbd.
May 2025
2 Commits
May 1, 2025May 2025 summary — Artemis (ls1intum): Delivered two critical bug fixes that significantly improved data accuracy and reporting reliability. Grading System: corrected rounding and interval display by using raw numeric inputs and precise interval calculations, ensuring accurate upper/lower bound updates. Attendance reporting: refactored average attendance to exclude canceled sessions and entries without counts, boosting reporting reliability. Impact: more trustworthy grading and attendance analytics, reduced need for manual corrections, and improved data integrity for instructors and administrators. Technologies/skills demonstrated: robust numeric input handling, interval-based calculation logic, and data filtering applied to core reporting paths in Artemis. Commits touched: 61c1cd8ab44e964e06f743ce64267b49db71d955; b1739170bdd6f455cc71a68205c630c0e7af9dbd.
Activity
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Quality Metrics
Correctness86.6%
Maintainability85.0%
Architecture78.4%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
HTMLJavaPythonTypeScript
Technical Skills
API DesignAPI DevelopmentAngularBackend DevelopmentCode AnalysisDTO PatternData ReportingData Transfer ObjectsFrontend DevelopmentJavaRefactoringScriptingSpring BootTypeScript
Repositories Contributed To
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