Bachir Djermani developed a flexible input-to-argument mapping feature for the pytorch/tensordict repository, enhancing the TensorDictModule with the new out_to_in_map capability. This addition allows a single input feature to be reused across multiple arguments, reducing duplication and improving modularity. Bachir implemented deprecation warnings to guide users from legacy patterns to the updated interface, ensuring a smooth transition. Comprehensive tests were written in Python to verify the correct behavior of multi-use input mapping, and documentation was updated to support onboarding. The work demonstrated strong skills in API design, software engineering, and testing, delivering a robust and maintainable solution.