Performance optimization is crucial, especially in automotive infotainment systems where responsiveness and efficiency are key. One example of how I enhanced system performance was during the development of the Conman feature for Nissan vehicles.

We faced a challenge where, after a cold start, the system would occasionally show a black screen and take time to reconnect to Android Auto or CarPlay, leading to delays in resuming playback. This intermittent issue occurred in about three out of fifteen instances, which was unacceptable for user experience.

To tackle this, we implemented several strategies:

1. **Thread Management:** We moved all long-running tasks off the main thread to prevent UI blocking. UI updates remained on the main thread, while API calls and database operations were shifted to background threads.

2. **Prioritization:** We prioritized tasks that were critical immediately after startup. For example, if Android Auto was previously connected, we focused on fetching and loading data related to Android Auto first, deferring less critical tasks to ensure quicker reconnection and playback.

3. **Code Optimization:** We reviewed and eliminated any unused code and streamlined the logic to ensure that only necessary operations were performed during startup.

These optimizations significantly improved the performance of the Conman feature, resulting in a smoother and faster user experience. By prioritizing critical tasks and managing threads effectively, we were able to reduce the occurrence of black screens and enhance the reconnection time to Android Auto and CarPlay.