Contributed to the PennyLaneAI/qml repository by developing features and fixes focused on documentation quality and attribution governance. Implemented an author username display throughout the codebase to improve contributor recognition, and enhanced documentation formatting for clarity and consistency. Delivered targeted improvements to tutorial materials, including adding an “About the authors” section and correcting terminology in Python demonstration scripts. Emphasized code formatting, refactoring, and code review to support maintainability and onboarding. All work was performed in Python, with a strong focus on documentation standards and repository-wide readability, resulting in improved usability and reduced support overhead for new and existing contributors.