Hugo Yang developed the TED Detection Application for the apache/singa repository, focusing on medical image classification for thyroid eye disease. He designed and implemented a CPL-based workflow using the Singa deep learning framework, delivering a set of Python modules and a training script that enable reproducible experiments. His work established a reusable baseline for healthcare applications within the model zoo, with clear documentation to support user adoption. Leveraging skills in computer vision, deep learning, and model development, Hugo addressed the challenge of building a robust, end-to-end detection pipeline, demonstrating depth in both technical implementation and workflow design over the project period.