Chinmay contributed to the jax-ml/jax repository by developing a feature that adds a weights parameter to the quantile and percentile functions, enabling weighted statistical calculations. This enhancement allows users to assign varying importance to data points, supporting more nuanced data analysis and statistical modeling. Chinmay implemented the feature in Python, ensuring consistency with existing APIs to facilitate seamless adoption. The work focused on numerical computing and addressed the need for accurate weighted summaries in analytics and machine learning preprocessing. While the contribution was limited to a single feature over one month, it demonstrated depth in statistical functionality and careful API design.