Worked on the pykale/pykale repository to enhance the quantile binning component, focusing on both documentation quality and code robustness. Improved developer experience by applying Sphinx docstring formatting across all Qbin-related files, ensuring clearer and more consistent documentation. Addressed a key edge case in quantile_binning_predictions by implementing defensive programming techniques in Python, so that empty uncertainty-threshold lists now return default zeros for all keys, resulting in more predictable and stable outputs. Demonstrated skills in Python programming, documentation standards, and unit testing, contributing to better API clarity, easier onboarding for new developers, and more maintainable code within the project.