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Isaac Moore

PROFILE

Isaac Moore

Isaac Moore enhanced the instructure/canvas-lms repository by addressing security, data integrity, and developer tooling challenges over a two-month period. He mitigated a potential SQL injection vulnerability in GraphQL enrollment queries by validating orderBy values and implemented automated tests to ensure ongoing protection. In addition, Isaac improved the accuracy of the Observers report by refining database queries to exclude duplicate entries, and introduced Docker Compose-based LocalStack integration to streamline local EventBridge testing for development and CI. His work leveraged skills in Ruby, GraphQL, and DevOps, demonstrating a methodical approach to backend development and a focus on maintainable, testable solutions.

Overall Statistics

Feature vs Bugs

33%Features

Repository Contributions

3Total
Bugs
2
Commits
3
Features
1
Lines of code
86
Activity Months2

Your Network

352 people

Same Organization

@instructure.com
184

Shared Repositories

168
Ádám MátéMember
Adam_MikulasMember
Adam MolnarMember
Adam SzaboMember
Adrian GruberMember
akemenyMember
Akos HorvathMember
Alexandre DosSantosMember
alvaro.talaveraMember

Work History

September 2025

2 Commits • 1 Features

Sep 1, 2025

Monthly summary for 2025-09 (instructure/canvas-lms): Delivered two focused improvements that enhance data integrity and developer tooling. Key changes include excluding Instructure Identity logins from the Observers report to fix data quality, and adding Docker Compose configuration for LocalStack to enable reliable local EventBridge testing in development and CI. The work included regression tests and clear commit traceability for future audits.

April 2025

1 Commits

Apr 1, 2025

April 2025: Strengthened security and reliability of GraphQL enrollment queries in the Canvas LMS repository. Fixed a potential SQL injection risk by validating orderBy values and added automated tests to verify the security fix, reducing exposure of enrollment data and aligning with security best practices.

Activity

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Quality Metrics

Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

GraphQLRubyYAML

Technical Skills

API SecurityBackend DevelopmentDatabase Query OptimizationDevOpsDockerGraphQLLocalStackReporting

Repositories Contributed To

1 repo

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

instructure/canvas-lms

Apr 2025 Sep 2025
2 Months active

Languages Used

GraphQLRubyYAML

Technical Skills

API SecurityBackend DevelopmentGraphQLDatabase Query OptimizationDevOpsDocker