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 the system’s overview, supported models, evaluation metrics, and datasets. The work included renaming and updating the SER tutorial to align with the new documentation, centralizing guidance for developers and data scientists. This approach improved onboarding efficiency and maintainability, enabling faster ramp-up and more consistent model evaluation. The depth of the documentation supports cross-team clarity, ensuring that SER capabilities and evaluation standards are clearly communicated and accessible.