Sajjad focused on improving documentation quality in the rasbt/llms-from-scratch repository by correcting typos and enhancing comment clarity across multiple files, including appendix_d.py. Using Python and leveraging Git for precise code navigation, Sajjad applied meticulous attention to detail to ensure documentation was both accurate and accessible for contributors. This work addressed potential misinterpretations and streamlined onboarding for new developers, directly supporting the repository’s maintainability. While the scope was limited to documentation hygiene rather than feature development or bug fixes, Sajjad demonstrated proficiency in deep learning and machine learning environments, contributing to a more consistent and user-friendly codebase for the project.