Over a two-month period, contributed to the pymc-devs/pytensor and pymc-labs/pymc-marketing repositories by delivering targeted improvements in both numerical computing and documentation. Developed new vectorized linear algebra operations in Python for PyTensor, introducing vecdot, matvec, and vecmat functions that mirror NumPy’s API and streamline model development. Enhanced usability by expanding API coverage, adding comprehensive unit tests, and improving documentation with Markdown. Additionally, addressed a domain consistency issue in pymc-marketing by updating documentation and configuration files to reflect the correct web presence, thereby reducing broken links and strengthening branding. Work demonstrated depth in API design, testing, and configuration management.