Techtonica/curriculum
Apr 2026 – Apr 2026
1 Month active
Languages Used
Markdown
Technical Skills
algorithm designdata structuresdocumentationeducational content creationeducational content developmenttechnical writing
Manya Sinha
PROFILE
Manya Sinha
Worked on the Techtonica/curriculum repository to enhance AVL Trees learning materials, focusing on improving onboarding and maintainability for learners. Consolidated existing content across guides and README files, and introduced a comprehensive AVL guide that details properties, operations, and practical applications. Utilized Markdown for documentation and applied skills in algorithm design and data structures to clarify technical concepts. Improved documentation hygiene by removing duplicate headings and refining time estimates and learner resources. The updates streamlined curriculum organization, increased discoverability of educational content, and simplified future maintenance, reflecting a methodical approach to technical writing and educational content development within the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
641
Activity Months1
Your Network
38 peopleShared Repositories
38
Work History
April 2026
3 Commits • 1 Features
Apr 1, 2026April 2026: Focused AVL Trees learning materials update in Techtonica/curriculum to improve learner onboarding and maintainability. Consolidated content across guides and README, added a comprehensive AVL guide detailing properties, operations, and practical applications; cleaned up documentation by removing a duplicate Algorithms heading and clarifying time estimates and learner resources.
3 Commits • 1 Features
Apr 1, 2026April 2026: Focused AVL Trees learning materials update in Techtonica/curriculum to improve learner onboarding and maintainability. Consolidated content across guides and README, added a comprehensive AVL guide detailing properties, operations, and practical applications; cleaned up documentation by removing a duplicate Algorithms heading and clarifying time estimates and learner resources.
April 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
algorithm designdata structuresdocumentationeducational content creationeducational content developmenttechnical writing
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