Worked on the NVIDIA/recsys-examples repository, focusing on maintaining stability and compatibility within the codebase. Addressed a critical dependency issue by renaming the NVLocalParameterServer class to NVEParameterServer, ensuring alignment with the evolving API and preventing build failures across downstream components. This targeted bug fix improved integration reliability and reduced the risk of errors during development and deployment. The work emphasized code maintainability and traceability, with explicit commit documentation to support future updates. Utilized Python as the primary language, applying deep learning and machine learning expertise alongside the PyTorch framework to support robust recommendation system infrastructure.