Jordan Wilke developed comprehensive documentation and onboarding improvements for the sensein/senselab repository, focusing on Speech Emotion Recognition (SER). Using Markdown and technical writing skills, Jordan created a new SER documentation page that outlines supported models, evaluation metrics, and datasets, and updated the existing tutorial to align with these enhancements. The work centralized SER guidance, making it easier for developers and data scientists to understand and evaluate SER models. While the contribution was limited to documentation and did not involve bug fixes or code changes, it provided clear business value by streamlining onboarding and supporting more consistent model evaluation across teams.