Summary
Xiangming Zeng is a Research Data Scientist II with over a decade of experience applying machine learning, mathematical modeling, and geospatial analysis to weather, ocean, and climate problems. He builds production-grade, weather-aware systems—currently developing Amazon’s weather-intelligent delivery pipeline and global demand forecasting on AWS—after roles improving climate prediction and ocean circulation modeling in academia and industry. Trained as a mathematician with a PhD in Marine, Earth and Atmospheric Sciences, he combines rigorous adjoint sensitivity and numerical modeling techniques with practical MLOps to turn complex observational and model data into actionable insights. Known for fast learning and clear communication, he also brings hands-on field experience coordinating oceanographic cruises and translating research into operational products.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Physical Oceanography, Master's degree, Physical Oceanography at Second Institute of Oceanography, State Oceanic Administration
Doctor of Philosophy (Ph.D.), Marine, Earth and Atmospheric Sciences, Doctor of Philosophy (Ph.D.), Marine, Earth and Atmospheric Sciences at North Carolina State University
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Ocean University of China
English, Chinese