Summary
Mo He is an Algorithm Engineer with 11 years of experience, combining a Cornell M.Eng. in ECE with applied machine learning and computer vision work at Alibaba Cloud focused on smart public transportation systems across airlines, buses, and transit hubs in China. He has a strong academic foundation in deep learning, demonstrated by projects in financial forecasting, LiDAR-based road extraction, and Alzheimer’s prediction, and intern experience in face recognition at Tsinghua yielding >97% gender accuracy. At Alibaba he translates research-grade models into production-facing solutions for large-scale, real-world transport deployments, blending data mining, optimization, and cloud engineering. Comfortable in Python, MATLAB, and system-level database optimizations from earlier roles, he brings both theoretical rigor and practical performance tuning to cross-disciplinary teams. A self-described “Gopher,” he pairs hands-on implementation skills with an eye for measurable impact on urban mobility.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Physics, 89.5/100, Bachelor of Science - BS, Physics, 89.5/100 at Nankai University
Master of Engineering - MEng, Electrical and Computer Engineering, 3.77, Master of Engineering - MEng, Electrical and Computer Engineering, 3.77 at Cornell University