Worked on the jax-ml/jax repository to enhance the data preprocessing utilities by improving the detrend function’s input flexibility and type-safety. Focused on expanding the type hints for the bp parameter, the update allowed the function to accept a wider range of input types such as numpy arrays, lists, and Series, thereby increasing its usability in diverse data pipelines. The change was implemented in Python and centered on scientific computing and data processing best practices. This targeted update improved reliability and developer experience in machine learning workflows, with clear commit traceability and minimal code changes to support future maintenance and review.