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Atharva

PROFILE

Atharva

Worked on the yangshun/tech-interview-handbook repository, focusing on improving the accuracy of algorithmic documentation. Addressed a bug in the complexity analysis for sorting anagrams by correcting the stated time and space complexities, ensuring that users and stakeholders receive precise performance expectations. The solution involved careful algorithm analysis and technical writing, with updates made in Markdown to maintain clear and reliable documentation. By refining the complexity attribution, the work enhanced the reliability and maintainability of the handbook’s content. This contribution prioritized correctness and clarity, supporting both current and future users who rely on the handbook for technical interview preparation and reference.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

1Total
Bugs
1
Commits
1
Features
0
Lines of code
0
Activity Months1

Your Network

9 people

Shared Repositories

9

Work History

June 2025

1 Commits

Jun 1, 2025

June 2025: Focused on correctness and reliability in yangshun/tech-interview-handbook. Key work included fixing the time complexity attribution for sorting anagrams, correcting the misstatement from O(n log n) time / O(n) space to reflect actual complexity, and updating stakeholders with accurate performance expectations. Commit 9e4909cbf7ecac6bbad0906e4f783a3f812cfa69 implemented the fix. This improves documentation accuracy, user trust, and future maintainability.

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 analysistechnical writing

Repositories Contributed To

1 repo

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

yangshun/tech-interview-handbook

Jun 2025 Jun 2025
1 Month active

Languages Used

Markdown

Technical Skills

algorithm analysistechnical writing