Developed and delivered the PW_Bioacoustics module for the microsoft/CameraTraps repository, providing end-to-end tooling for training and inference in bioacoustics machine learning workflows. The work included a command-line interface for dataset preparation, training, and inference, as well as a comprehensive demo notebook to support experimentation. Leveraging Python, PyTorch, and Docker, the module was designed for reusability and alignment with MegaDetector practices. Additionally, enhanced the SEO and documentation infrastructure using MkDocs, HTML, and JSON-LD, improving discoverability and deployment reliability. CI/CD workflows were refined to ensure documentation updates deploy consistently, supporting maintainability and cross-team collaboration across the project.