Eunwoo Shin developed XPU device support and upgraded PyTorch within the openvinotoolkit/training_extensions repository, focusing on expanding hardware compatibility and improving training performance. By refactoring core utilities in Python and addressing mixed-precision reliability, Eunwoo enhanced device handling across multiple backends, resulting in more stable and robust training workflows. The work included updating installation instructions and documentation, streamlining the setup process for users and clarifying new dependencies. Through deep learning expertise and system integration skills, Eunwoo’s contributions enabled broader accelerator coverage and more reliable model training, reflecting a thoughtful approach to both code quality and user experience within the project.