Over thirteen months, contributed to the pypeit/PypeIt repository by developing and refining data reduction pipelines for astronomical spectrographs, with a focus on the APF Levy and Keck LRIS instruments. Leveraged Python, NumPy, and astropy to implement robust configuration management, parameter tuning, and calibration routines that improved extraction fidelity and reduced manual intervention. Enhanced code maintainability through systematic code cleanup, refactoring, and expanded documentation, while introducing flexible data handling and automated testing to support diverse instrument setups. Addressed workflow reliability by fixing binning and frame-type bugs, optimizing performance, and clarifying user-facing guides, resulting in more reproducible and accurate scientific data products.