Huijun Liu is a software engineer with 9 years of experience specializing in deep learning, speech signal processing, speech recognition/enhancement, and computer vision, blending research rigor with hands-on engineering. Trained in China and Germany (B.Sc. Xidian University, M.Sc. TU Braunschweig), he has built and optimized models across TensorFlow, PyTorch, Keras and Caffe, applying GANs, WaveNet, LSTM/CNNs and YOLO-based instance segmentation for industry and academic challenges. His work spans practical codec-aware speech reconstruction (including ITU-T standards) and image/video segmentation for Cityscapes/Mapillary, with a patent submitted from his TU Braunschweig research and an “Excellent Intern” stint at Intel. Comfortable implementing end-to-end systems in Python, Matlab and Qt, he pairs algorithmic depth with applied system skills—often tuning hyperparameters and engineering efficient model deployments for real datasets.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Telecommunications Engineering, 84, Bachelor's degree, Telecommunications Engineering, 84 at Xidian University
Master’s Degree, Informations Systemtechnik, 1.8, Master’s Degree, Informations Systemtechnik, 1.8 at Technische Universität Braunschweig
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