Summary
Chang Liu is a Machine Learning Engineer and recent PhD in Computer Science with 11 years of hands-on experience building and deploying deep learning and computer vision systems from research prototypes to mobile and clinical applications. He has designed and shipped CNN- and detector-based solutions (YOLO, Mask/SSD/Faster R-CNN, UNet) for mobile sensing, pedestrian tracking, medical imaging and cloud serving using TensorFlow, Caffe and TF-Serving, and implemented performant C++/OpenCV pipelines and Android/TF-Lite clients. At IQVIA he applies this end-to-end expertise to production ML engineering, and his academic work includes leading a hospital deployment for lung nodule detection and building mobile/cloud sensing architectures. Comfortable with Agile workflows and teaching, he pairs strong research credibility—3.9/4.0 PhD—with practical system integration, Qt/C++ plugins, and RESTful model serving. A competent presenter and mentor active in Toastmasters and graduate instruction, he uniquely bridges rigorous research, clinical deployment, and mobile engineering.
11 years of coding experience