instructure/canvas-lms
Jun 2025 – Oct 2025
3 Months active
Languages Used
HTMLMarkdownRubyYAMLERBTypeScript
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCode RefactoringConfiguration ManagementFeature Flag Management
Mohammad Hajjaj
PROFILE
Mohammad Hajjaj
Mohammad Hajjaj contributed to the instructure/canvas-lms repository by delivering four features and resolving one bug over three months, focusing on both backend and frontend improvements. He implemented account-scoped decimal and thousand separators, enabling per-account data formatting and ensuring consistent presentation across tools and reports. His work included propagating settings through LTI integrations and managing feature flags for conditional logic. Mohammad enhanced quiz analytics by processing YouTube scan results and improved accessibility with ARIA labels for screen readers. Using Ruby, TypeScript, and API development skills, he also clarified quiz configuration text, demonstrating attention to maintainability, usability, and accessibility throughout his contributions.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
4
Lines of code
842
Activity Months3
Your Network
352 peopleSame Organization
@instructure.com184
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Adam_MikulasMember
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Shared Repositories
168
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Adam_MikulasMember
Adam MolnarMember
Adam SzaboMember
Adrian GruberMember
akemenyMember
Akos HorvathMember
Alexandre DosSantosMember
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Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 (Month: 2025-10) recap for instructure/canvas-lms: Delivered a targeted UX copy improvement by clarifying the Quiz Summary Text for Respondus Lockdown Browser. The update ensures instructors see an accurate description when configuring or reviewing quiz settings, reducing configuration errors and improving overall usability. The change is tied to a single, traceable commit for accountability and easy rollback if needed.
1 Commits • 1 Features
Oct 1, 2025October 2025 (Month: 2025-10) recap for instructure/canvas-lms: Delivered a targeted UX copy improvement by clarifying the Quiz Summary Text for Respondus Lockdown Browser. The update ensures instructors see an accurate description when configuring or reviewing quiz settings, reducing configuration errors and improving overall usability. The change is tied to a single, traceable commit for accountability and easy rollback if needed.
October 2025
September 2025
2 Commits • 2 Features
Sep 1, 2025September 2025 – Instructure Canvas LMS: delivered two high-impact features focused on quiz data processing, migration workflow, and accessibility enhancements. The work supports improved quiz analytics, better migration reliability, and accessible UX for educators and admins.
September 2025
2 Commits • 2 Features
Sep 1, 2025September 2025 – Instructure Canvas LMS: delivered two high-impact features focused on quiz data processing, migration workflow, and accessibility enhancements. The work supports improved quiz analytics, better migration reliability, and accessible UX for educators and admins.
June 2025
4 Commits • 1 Features
Jun 1, 2025June 2025 highlights for instructure/canvas-lms: focused on improving data presentation consistency and codebase maintainability. Delivered account-scoped decimal and thousand separators for Canvas LMS, enabling per-account formatting across tools and reports. Implemented careful propagation of separator settings through launch parameters and into LTI, with a guard to skip passing settings when the feature flag is disabled. Completed cleanup by removing the unused quiz migration warning feature flag, reducing stale warning logic and maintenance overhead. Overall, these changes enhance business value through accurate, consistent formatting and a leaner, more maintainable codebase.
4 Commits • 1 Features
Jun 1, 2025June 2025 highlights for instructure/canvas-lms: focused on improving data presentation consistency and codebase maintainability. Delivered account-scoped decimal and thousand separators for Canvas LMS, enabling per-account formatting across tools and reports. Implemented careful propagation of separator settings through launch parameters and into LTI, with a guard to skip passing settings when the feature flag is disabled. Completed cleanup by removing the unused quiz migration warning feature flag, reducing stale warning logic and maintenance overhead. Overall, these changes enhance business value through accurate, consistent formatting and a leaner, more maintainable codebase.
June 2025
Activity
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Quality Metrics
Correctness95.8%
Maintainability91.4%
Architecture91.4%
Performance91.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
ERBHTMLMarkdownRubyTypeScriptYAML
Technical Skills
API DevelopmentAPI IntegrationAccessibilityBackend DevelopmentCode RefactoringConfiguration ManagementFeature Flag ManagementFeature FlaggingFront End DevelopmentFrontend DevelopmentFull Stack DevelopmentLTI IntegrationService IntegrationState Management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline