Worked on enhancing operational forecasting pipelines within the CDCgov/covid19-forecast-hub and CDCgov/pyrenew-hew repositories, focusing on business-value delivery and system reliability. Developed and released new COVID-19 hospitalization incidence forecast CSV outputs, leveraging R programming and data manipulation techniques to generate quantile-based forecasts across multiple locations and horizons. Improved directory path parsing by vectorizing utility functions using dplyr and tibble, which streamlined data handling and increased code efficiency. When stability concerns arose, promptly reverted the vectorization to maintain robust pipeline operations. Demonstrated disciplined feature delivery with planned rollback strategies, ensuring that updates supported both forecast accuracy and operational continuity.