instructure/canvas-lms
Aug 2025 – Sep 2025
2 Months active
Languages Used
GraphQLJavaScriptRubyTypeScript
Technical Skills
API DevelopmentBackend DevelopmentFrontend DevelopmentGraphQLReactFile Processing
Dan Badea
PROFILE
Dan Badea
Dan Badea contributed to the instructure/canvas-lms repository by developing AI Assisted Grading Transparency features and addressing document processing reliability. He enhanced the Submission GraphQL interface and React-based UI to display an 'AI Assisted' indicator and student disclaimer when AI grading was used, improving clarity and reducing grading disputes. Dan also fixed a bug in DOCX image extraction by correcting file handle usage in Ruby, stabilizing the document ingestion pipeline. His work demonstrated proficiency in API development, backend and frontend integration, and file processing, with clear, maintainable code and traceable commits that addressed both user experience and technical reliability.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
347
Activity Months2
Your Network
352 peopleSame Organization
@instructure.com184
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Shared Repositories
168
Ádám MátéMember
Adam_MikulasMember
Adam MolnarMember
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Adrian GruberMember
akemenyMember
Akos HorvathMember
Alexandre DosSantosMember
alvaro.talaveraMember
Work History
September 2025
1 Commits
Sep 1, 2025September 2025 for instructure/canvas-lms: No new features delivered. Key bug fix improved DOCX image detection reliability by correcting the file handle when opening DOCX as ZIP (Docx::Document.open). This reduces image extraction failures and stabilizes the document ingestion pipeline. Demonstrated robust debugging, precise code changes, and strong commit traceability.
1 Commits
Sep 1, 2025September 2025 for instructure/canvas-lms: No new features delivered. Key bug fix improved DOCX image detection reliability by correcting the file handle when opening DOCX as ZIP (Docx::Document.open). This reduces image extraction failures and stabilizes the document ingestion pipeline. Demonstrated robust debugging, precise code changes, and strong commit traceability.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08. Focused on delivering AI Assisted Grading Transparency for the Canvas LMS repository. Implemented backend and UI changes to enhance transparency of AI-enabled grading, including adding autoGradeResultPresent to the Submission GraphQL interface and model, updating the UI to show an 'AI Assisted' indicator on rubrics when AI grading results exist, and issuing a student disclaimer that AI was used in grading. No major bug fixes reported this month; the work emphasizes business value by increasing student trust and clarity in AI-assisted grading, reducing potential disputes and support overhead. Key technical accomplishments include GraphQL interface augmentation, UI integration, and traceable commit history (see 038f5d711311e34ed25872a813e14074da5a8881).
August 2025
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08. Focused on delivering AI Assisted Grading Transparency for the Canvas LMS repository. Implemented backend and UI changes to enhance transparency of AI-enabled grading, including adding autoGradeResultPresent to the Submission GraphQL interface and model, updating the UI to show an 'AI Assisted' indicator on rubrics when AI grading results exist, and issuing a student disclaimer that AI was used in grading. No major bug fixes reported this month; the work emphasizes business value by increasing student trust and clarity in AI-assisted grading, reducing potential disputes and support overhead. Key technical accomplishments include GraphQL interface augmentation, UI integration, and traceable commit history (see 038f5d711311e34ed25872a813e14074da5a8881).
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance90.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
GraphQLJavaScriptRubyTypeScript
Technical Skills
API DevelopmentBackend DevelopmentFile ProcessingFrontend DevelopmentGraphQLReact
Repositories Contributed To
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