During July 2025, Frank Lai addressed a PyTorch 3.5 compatibility issue in the nvidia-holoscan/holohub repository by developing a wrapper class for the Object Detection Model. His solution managed device placement and tensor permutation, ensuring that model inputs conformed to Holoscan requirements. Frank scripted the model with this wrapper, resolving input dimension and format inconsistencies that previously caused deployment errors. Working primarily with Python and YAML, he focused on configuration management and model deployment, resulting in improved runtime stability and maintainability. This targeted bug fix enhanced the reliability of Holoscan integration and laid groundwork for broader PyTorch version support.