Worked on stabilizing OpenVINO integration within the huggingface/optimum-intel repository, focusing on improving observability and debugging during model compilation. Addressed a bug in the logging system by refining how the logger’s effective level is handled in the model property printing function, ensuring that log output accurately reflects the configured level and reducing unnecessary noise. This adjustment allows for clearer, more actionable logs during OpenVINO model compilation, which is especially valuable in production environments. The work leveraged Python and skills in debugging, logging, and model optimization to enhance operational insights and streamline troubleshooting for machine learning deployment workflows.