Summary
Yiheng Zhao is a machine learning engineer with a strong academic foundation (MSc, University of Ottawa, 9.2/10) and eight years of experience bridging deep learning research and applied systems. He has focused expertise in CNN-based designs for classification, detection, and segmentation, and a particular interest in model compression and parameter optimization to make models more efficient in real-world deployments. His work includes multiple IEEE conference publications and research projects at the National Research Council Canada on VRU detection, driver monitoring, and UAV-assisted railway segmentation. Yiheng has substantial teaching experience leading TAs and instructing data structures and algorithms, which complements his ability to communicate complex technical ideas and mentor teams. Currently at Leap Tools, he applies research-grade methods to engineering problems, combining rigorous experimentation with practical implementation. Colleagues describe him as a well-rounded practitioner who pairs academic writing and publication experience with hands-on ML engineering.
8 years of coding experience
4 years of employment as a software developer
Master of Computer Science, Computer Science, 9.2/10, Master of Computer Science, Computer Science, 9.2/10 at University of Ottawa
Bachelor of Computer Science, Computer Science, 85 / 100, Bachelor of Computer Science, Computer Science, 85 / 100 at Beijing University of Technology
Chinese, English