Worked on the rerun-io/rerun repository to optimize the live camera edge detection workflow using Python, computer vision, and image processing techniques. Focused on refactoring the image logging path to reduce unnecessary iterations, which improved runtime performance and increased the throughput of the live camera pipeline. Addressed a synchronization divergence issue to ensure the observable state accurately reflected the actual camera feed, enhancing both reliability and monitoring capabilities. Maintained high code quality by providing precise commit references and clear source mapping, supporting future audits and onboarding. The work contributed to a more efficient and observable live camera edge detection process.