Atharva Khadake contributed to the yangshun/tech-interview-handbook repository by focusing on improving the accuracy of algorithmic documentation. During the month, Atharva identified and corrected a misattributed time and space complexity for sorting anagrams, ensuring that the documentation reflected the actual computational requirements. This work involved careful algorithm analysis and technical writing, using Markdown to update the relevant sections. By addressing this bug, Atharva enhanced the reliability of performance expectations for both users and stakeholders. The depth of the fix demonstrated attention to detail and a commitment to maintainability, resulting in more trustworthy and precise technical resources for the community.