Worked on the Kaggle/kagglehub repository to implement a model-tracking enhancement by updating the KaggleHub library to include 'torchtune' in the user agent string. This change enabled telemetry and analytics for torchtune-powered models through the KaggleHub API, improving observability and reproducibility of model deployments. The technical approach involved Python-based API integration, careful library versioning, and the development of targeted tests to validate the new user-agent behavior. Focused on user agent management and robust testing practices, the work addressed business needs for better model tracking and analytics, delivering a single, well-scoped feature within the month without introducing new bugs.