Developed an Emotion Analysis API endpoint for call recordings within the CINTELLILABS/docs repository, enabling AI-powered detection of dominant emotions in audio data. The work involved designing the endpoint surface, defining request parameters, and specifying the response schema to support robust emotion analytics. Emphasized data privacy by implementing data sanitization processes that removed real data during development. Focused on clear API documentation using Markdown to ensure ease of integration and future maintenance. Leveraged skills in AI integration and API design to lay the foundation for downstream analytics, supporting enhanced business insights derived from call sentiment without addressing major bug fixes during this period.