Summary
Liang Li is a Senior Software Engineer with 11 years of experience specializing in machine learning and deep learning, now building scalable systems at Google after prior roles at AWS and clinical-imaging research at Siemens Healthineers. He holds a Ph.D. in Electrical, Electronics and Communications Engineering and combines strong mathematical foundations with practical expertise in Python, MATLAB, PyTorch, and containerized ML pipelines. At AWS he implemented end-to-end deep learning infrastructure and generative models (GANs, Transformers) for music generation, and earlier research roles applied advanced CNNs and wavelet methods to medical image denoising. Liang’s work bridges academic rigor and production engineering—he has processed decades-scale time series at Oak Ridge and supported on-call product operations and dashboarding in cloud services. Based in Knoxville, Tennessee, he’s driven by continual learning and hands-on coding, favoring projects that move research prototypes into robust, user-facing systems. A detail that distinguishes him is his track record of shipping both model research and the accompanying data and containerized pipelines that make those models reproducible in production.
11 years of coding experience
6 years of employment as a software developer
Master's degree Electrical Electronic and Communications Engineering Technology/Technician, Master's degree Electrical Electronic and Communications Engineering Technology/Technician at University of Electronic Science and Technology of China
High School of PanJin
Doctor of Philosophy (Ph.D.) Electrical Electronics and Communications Engineering, Doctor of Philosophy (Ph.D.) Electrical Electronics and Communications Engineering at University of Tennessee, Knoxville
Chinese, English