Worked on stability and observability improvements for the Deep-Live-Cam repository, focusing on the face-swapping feature. Addressed a critical bug by implementing defensive checks in Python to prevent crashes when face embeddings were unavailable, enhancing the reliability of real-time computer vision processing. Improved error handling by replacing ad-hoc print statements with structured logging, making issues easier to diagnose and maintain. Additional work included fixing import issues and clarifying log messages, further reducing the risk of runtime errors. The changes leveraged skills in debugging, error handling, and face recognition, resulting in a more robust and maintainable codebase for live camera applications.