Summary
Shiqi Liu is a machine learning engineer with eight years of experience specializing in remote sensing and applied mathematics, currently based in Wuhan. He holds a master’s in Applied Mathematics from Xi'an Jiaotong University with a visiting stint at Georgia Tech and a strong academic record. His professional work blends deep learning and classical signal processing to build production-ready systems for remote sensing preprocessing, image interpretation, change detection, and quality assessment. He has practical experience in weakly supervised and active learning methods for semantic segmentation, multispectral/hyperspectral fusion, and phase denoising for SAR data. Comfortable moving algorithms from research to deployment, he has contributed to integrated platforms that schedule operator algorithms and recommend samples for labeling. Beyond remote sensing, he explores generative models and EEG analysis, reflecting a broader curiosity in general AI and mathematical foundations.
8 years of coding experience
3 years of employment as a software developer
Visiting Math Student, GPA 4.11, Visiting Math Student, GPA 4.11 at Georgia Institute of Technology
Master's degree, Applied Mathematics, GPA 3.56, Master's degree, Applied Mathematics, GPA 3.56 at 西安交通大学
Chinese, English