Contributed targeted improvements to the google/flax repository by refining the optimizer experience and maintaining tutorial compatibility. Focused on clarifying the use of the 'wrt' argument within the Optimizer class and its integration with nnx.grad, updating both docstrings and the README to improve onboarding and reduce user misconfigurations. Addressed a compatibility issue in the MNIST tutorial by reverting optimizer update logic, ensuring alignment with expected training step parameters. Demonstrated disciplined version control and attention to documentation quality throughout the process. Leveraged Python and Markdown to enhance deep learning workflows, emphasizing maintainability and clarity for both new and existing users.