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theo sorriaux

PROFILE

Theo Sorriaux

Theo Sorriaux contributed to the instructure/canvas-lms repository by building and refining features across discussions, notifications, translations, and AI integrations. He delivered user-facing improvements such as discussion pinning, AI Nutrition Facts, and translation management, while also enhancing backend reliability through robust error handling and feature flag management. Using Ruby on Rails, React, and TypeScript, Theo implemented database migrations, optimized GraphQL queries, and improved accessibility for both notifications and inbox workflows. His work addressed data integrity, permission-based notifications, and observability, demonstrating a thorough approach to both frontend and backend challenges and resulting in more maintainable, user-focused educational software.

Overall Statistics

Feature vs Bugs

47%Features

Repository Contributions

39Total
Bugs
16
Commits
39
Features
14
Lines of code
10,997
Activity Months7

Your Network

352 people

Same Organization

@instructure.com
184

Shared Repositories

168
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Akos HorvathMember
Alexandre DosSantosMember
alvaro.talaveraMember

Work History

October 2025

5 Commits • 1 Features

Oct 1, 2025

October 2025 monthly summary for instructure/canvas-lms: Delivered AI features and translation system improvements, along with critical reliability fixes and backend refinements that improve user experience and system maintainability. Key outcomes include standardized IgniteAI feature flags, translation UI enhancements, CeDar-backed translation backend improvements with improved error handling, and Sagemaker cleanup to stabilize AI workloads. Translation management was added to discussion posts. Fixed admin-only announcement notifications to respect the moderate_forum permission and prevented summary emails from being sent to inactive enrollments. These changes reduce misrouted communications, streamline translation workflows, and strengthen AI feature reliability, delivering measurable business value and developer productivity.

September 2025

4 Commits • 3 Features

Sep 1, 2025

Month: 2025-09 — Canvas LMS (instructure/canvas-lms). Focused delivery of user-facing features and backend improvements with an emphasis on reliability, usability, and data-driven insights. No explicit major bug fixes reported this period; the month prioritized feature delivery and stability enhancements.

August 2025

4 Commits • 2 Features

Aug 1, 2025

August 2025: Monthly summary for instructure/canvas-lms. Delivered four focused improvements and fixes across translations, notifications, chat, and discussions in the repo, with concrete commits demonstrating progress: cbdb3baf9502b9b8082952fa8c06681e33caaaf4; 6223708a0dc9fe0d181aeff60964677d43799444; 7f827ed8709237b06bbf5ae2ea654e13f9fe3711; fe7a66d51342eb50e82b25a0ff9dda58daaabfe3. Highlights include TranslationSlugs for translation context management and statistics reporting; permission-aware notifications; robust infinite scrolling for long messages; and enhanced discussion pinning visibility for participants.

July 2025

7 Commits • 3 Features

Jul 1, 2025

July 2025 monthly summary focusing on key accomplishments and business value across the Canvas LMS codebase. Delivered user-facing features, improved reliability, and strengthened accessibility, with a clear focus on measurable impact for students, instructors, and admin workflows.

June 2025

10 Commits • 3 Features

Jun 1, 2025

June 2025 summary for instructure/canvas-lms: Key features delivered, major bugs fixed, impact, and technical accomplishments focusing on business value and stability.

May 2025

8 Commits • 2 Features

May 1, 2025

Concise monthly summary for 2025-05 focusing on business value and technical achievements across the CanvasLMS repo. This month delivered targeted features with controlled risk, hardening analytics, and improvements to data integrity and user experience. The work enables safer experimentation, preserves critical UI states after import, and improves accuracy of usage metrics and grading workflows.

April 2025

1 Commits

Apr 1, 2025

Concise monthly summary for April 2025 focusing on delivery, quality improvements, and business value within the instructedre/canvas-lms repository.

Activity

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Quality Metrics

Correctness90.8%
Maintainability87.4%
Architecture85.4%
Performance82.0%
AI Usage23.0%

Skills & Technologies

Programming Languages

CSSGraphQLHTMLJSXJavaScriptRubySQLTypeScriptXMLYAML

Technical Skills

AI IntegrationAPI DevelopmentAPI IntegrationAccessibilityBackend DevelopmentBug FixingCode RefactoringConfiguration ManagementCourse ManagementData Import/ExportData MigrationDatabase DesignDatabase ManagementDatabase QueryingDependency Management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

instructure/canvas-lms

Apr 2025 Oct 2025
7 Months active

Languages Used

RubySQLJavaScriptXMLYAMLJSXTypeScriptGraphQL

Technical Skills

Backend DevelopmentDatabase QueryingRuby on RailsAPI DevelopmentBug FixingCourse Management