During June 2026, contributed targeted quality improvements to the sktime/sktime and keras-team/keras repositories, focusing on documentation accuracy and data-type robustness rather than new feature development. Addressed three bugs by refining docstrings to accurately reflect data types and function signatures, which reduces API misinterpretation and eases onboarding for new users. Enhanced the pad_sequences utility in Keras by correcting data-type checks, ensuring proper handling of byte-string inputs. Leveraged Python, NumPy, and Keras expertise to strengthen maintainability and reduce support overhead. These efforts improved the clarity and reliability of two widely-used machine learning libraries, emphasizing sustainable code and precise documentation.