instructure/canvas-lms
Aug 2025 – Sep 2025
2 Months active
Languages Used
RubyJavaScript
Technical Skills
API DevelopmentBackend DevelopmentRESTful APIsRuby on RailsService ObjectsAPI Integration
Peter Michaleczky
PROFILE
Peter Michaleczky
Peter Michaleczky developed and enhanced asynchronous PageView data export capabilities for the instructure/canvas-lms repository, focusing on scalable analytics workflows. He implemented new API endpoints and supporting backend services in Ruby on Rails, enabling users to enqueue, poll, and retrieve large data exports in CSV or JSONL formats. His work included robust error handling, integration with the PV5 API, and propagation of user identifiers for improved analytics and rate limiting. By addressing edge cases such as 429 and 204 responses and enhancing observability, Peter delivered reliable, maintainable API integrations using Ruby and JavaScript, demonstrating depth in backend and API development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
979
Activity Months2
Your Network
352 peopleSame Organization
@instructure.com184
Ahmed NaguibMember
Ádám MátéMember
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Shared Repositories
168
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Akos HorvathMember
Alexandre DosSantosMember
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Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for instructure/canvas-lms focusing on business value and technical milestones. Key delivery: PageView API error handling and usage tracking enhancements for the PageView async query endpoint. Major bug fixes: improved handling for 429 Too Many Requests and 204 No Content responses, ensuring reliable behavior under load and accurate error propagation. Overall impact: more robust, observable, and scalable PageView integration with PV5, enabling better user-level analytics and smarter rate limiting. Technologies/skills demonstrated: async API patterns, endpoint error handling, REST API integration, telemetry and metrics enhancement, and code-level traceability with commit-based history.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for instructure/canvas-lms focusing on business value and technical milestones. Key delivery: PageView API error handling and usage tracking enhancements for the PageView async query endpoint. Major bug fixes: improved handling for 429 Too Many Requests and 204 No Content responses, ensuring reliable behavior under load and accurate error propagation. Overall impact: more robust, observable, and scalable PageView integration with PV5, enabling better user-level analytics and smarter rate limiting. Technologies/skills demonstrated: async API patterns, endpoint error handling, REST API integration, telemetry and metrics enhancement, and code-level traceability with commit-based history.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focused on delivering a scalable data export capability and strengthening API reliability for analytics workflows.
August 2025
1 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focused on delivering a scalable data export capability and strengthening API reliability for analytics workflows.
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptRuby
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentError HandlingRESTful APIsRuby on RailsService Objects
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline