Bartos Rómeó provisioned pre-trained binary assets for the kizsi2024/12I-H repository, enabling a range of AI capabilities such as face recognition, GPT-based tasks, general image recognition, dog and cat identification, object recognition, and spaceship detection. He focused on asset management rather than code changes, delivering all resources in a single, traceable commit to ensure reproducibility and ease of integration. Leveraging his expertise in computer vision and machine learning, Bartos centralized model and dataset provisioning to streamline experimentation and downstream deployment. The work emphasized readiness and maintainability, providing a solid foundation for future development without introducing new bugs.