Coursemology/coursemology2
May 2025 – Aug 2025
4 Months active
Languages Used
CSSJSONJavaScriptRubyTypeScriptJSXPythonSQL
Technical Skills
AI/ML IntegrationAPI IntegrationAuthorizationAutomated GradingBackend DevelopmentCSV Export
Nguyen Cao Duy
PROFILE
Nguyen Cao Duy
During four months on the Coursemology/coursemology2 repository, Nguyen Cao Duy delivered features spanning AI-assisted auto-grading, rubric-based assessment, and cross-assessment plagiarism detection. He enhanced grading workflows by integrating LLM-based feedback and prompt engineering, using TypeScript and React for robust UI improvements and Python for backend logic. His work addressed performance bottlenecks through database query optimization and eager loading, while also expanding programming language support and internationalization. By implementing cross-assessment linking for plagiarism checks and preserving data integrity during assessment duplication, Nguyen demonstrated depth in full stack development, balancing maintainability, reliability, and scalability across both frontend and backend systems.
Overall Statistics
Feature vs Bugs
87%Features
Repository Contributions
41Total
Bugs
2
Commits
41
Features
13
Lines of code
12,697
Activity Months4
Your Network
6 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary: Delivered the Plagiarism Detection feature for Cross-Assessment Linking and Duplication-Tree Discoverability in Coursemology2. This work enables linking to past assessments for plagiarism checks, preserves links when assessments are duplicated, and ensures all assessments within a duplication tree are discoverable for linking, significantly enhancing cross-assessment plagiarism analysis. Commit: 7b2fbd34fb1916d7c8e4e45ad34a9e3a26d7f491.
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary: Delivered the Plagiarism Detection feature for Cross-Assessment Linking and Duplication-Tree Discoverability in Coursemology2. This work enables linking to past assessments for plagiarism checks, preserves links when assessments are duplicated, and ensures all assessments within a duplication tree are discoverable for linking, significantly enhancing cross-assessment plagiarism analysis. Commit: 7b2fbd34fb1916d7c8e4e45ad34a9e3a26d7f491.
August 2025
July 2025
11 Commits • 2 Features
Jul 1, 2025Month: 2025-07 — Coursemology2 delivered business-value features across rubric auto-grading enhancements and plagiarism checks, plus a critical bug fix for reminder emails. Impact includes improved grading accuracy, scalable integrity checks across courses, and more reliable notifications. Technologies demonstrated span prompt engineering, retry logic for LLM parsing, database migrations, and end-to-end API/frontend integration across services.
July 2025
11 Commits • 2 Features
Jul 1, 2025Month: 2025-07 — Coursemology2 delivered business-value features across rubric auto-grading enhancements and plagiarism checks, plus a critical bug fix for reminder emails. Impact includes improved grading accuracy, scalable integrity checks across courses, and more reliable notifications. Technologies demonstrated span prompt engineering, retry logic for LLM parsing, database migrations, and end-to-end API/frontend integration across services.
June 2025
18 Commits • 4 Features
Jun 1, 2025June 2025 monthly summary highlighting key feature deliveries, bug fixes, and performance improvements across Coursemology2. The work delivered stronger rubric-based assessment and AI-assisted auto-grading, expanded programming-language support and Codaveri question generation, UI/messaging enhancements, and notable performance/testing improvements. Deliverables tightened grading accuracy, reduced latency, broadened language coverage for assignments, and improved developer productivity through better templates and wiring for LLM-assisted workflows.
18 Commits • 4 Features
Jun 1, 2025June 2025 monthly summary highlighting key feature deliveries, bug fixes, and performance improvements across Coursemology2. The work delivered stronger rubric-based assessment and AI-assisted auto-grading, expanded programming-language support and Codaveri question generation, UI/messaging enhancements, and notable performance/testing improvements. Deliverables tightened grading accuracy, reduced latency, broadened language coverage for assignments, and improved developer productivity through better templates and wiring for LLM-assisted workflows.
June 2025
May 2025
11 Commits • 6 Features
May 1, 2025May 2025 (Coursemology/coursemology2) focused on UX clarity, performance, and expanded admin capabilities. Key features delivered include: 1) Group Module UI Improvements (GroupTableCard) with separate manager and member counts; migrated components to TypeScript; centralized styling with Tailwind; and updated translations. 2) Assessment UI Improvements with clearer navigation (question number icon) and improved stepper handling for non-skippable questions. 3) Instance Admin Permissions Upgrade enabling full management of courses and users. 4) Course Users Data Retrieval Performance Enhancement by eagerly loading groups to avoid N+1 queries. 5) Rubric Panel UX Improvements simplifying state and improving readability. 6) AI-assisted Auto-Grading for rubric-based questions with draft comment generation. 7) CSV Export Column Alignment Fix to ensure CSV headers align with TanStackTable columns. Major bug fixes included the CSV export alignment; additional spacing and header visibility improvements were implemented in assessment UI. Overall impact: improved data accuracy and reliability for exports, faster and more scalable data access, clearer and more efficient assessment workflows, expanded admin reach, and a more maintainable TS-based codebase. Technologies/skills demonstrated include TypeScript/TSX migrations, TailwindCSS styling, i18n translations, React hooks (useTranslation), performance optimization (eager loading), code refactoring for readability, and AI-assisted tooling integration.
May 2025
11 Commits • 6 Features
May 1, 2025May 2025 (Coursemology/coursemology2) focused on UX clarity, performance, and expanded admin capabilities. Key features delivered include: 1) Group Module UI Improvements (GroupTableCard) with separate manager and member counts; migrated components to TypeScript; centralized styling with Tailwind; and updated translations. 2) Assessment UI Improvements with clearer navigation (question number icon) and improved stepper handling for non-skippable questions. 3) Instance Admin Permissions Upgrade enabling full management of courses and users. 4) Course Users Data Retrieval Performance Enhancement by eagerly loading groups to avoid N+1 queries. 5) Rubric Panel UX Improvements simplifying state and improving readability. 6) AI-assisted Auto-Grading for rubric-based questions with draft comment generation. 7) CSV Export Column Alignment Fix to ensure CSV headers align with TanStackTable columns. Major bug fixes included the CSV export alignment; additional spacing and header visibility improvements were implemented in assessment UI. Overall impact: improved data accuracy and reliability for exports, faster and more scalable data access, clearer and more efficient assessment workflows, expanded admin reach, and a more maintainable TS-based codebase. Technologies/skills demonstrated include TypeScript/TSX migrations, TailwindCSS styling, i18n translations, React hooks (useTranslation), performance optimization (eager loading), code refactoring for readability, and AI-assisted tooling integration.
Activity
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Quality Metrics
Correctness91.0%
Maintainability87.0%
Architecture85.2%
Performance84.0%
AI Usage32.2%
Skills & Technologies
Programming Languages
CSSHTMLJSONJSXJavaScriptPythonRubySQLShellTypeScript
Technical Skills
AI IntegrationAI/ML IntegrationAPI DevelopmentAPI IntegrationAuthorizationAutomated GradingBackend DevelopmentCSV ExportCode OptimizationCode RefactoringCode RenamingComponent DesignComponent ManagementConfigurationData Handling
Repositories Contributed To
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