Summary
Weijie Huang is a Lead Data Scientist with over a decade of experience applying machine learning, time-series forecasting, recommendation systems and LLM work to drive business impact across industries. With a PhD in Physics and a strong mathematics background, he blends rigorous physical modeling and statistical thinking to design production-grade ML systems and data strategy. He has led AI architecture and governance at enterprise scale, industrializing models on cloud platforms and orchestration tools while educating stakeholders on data-driven decisions. His hands-on track record includes scaling forecasting for thousands of advertisers, deploying LSTM and Prophet models, and boosting legacy script performance by 300% through engineering refactors. Based in Duluth, GA, he pairs research-grade experimentation—evident from nanoparticle and micromotor work during his PhD—with practical delivery in Dockerized, Spark and cloud-native environments.
10 years of coding experience
14 years of employment as a software developer
University of Georgia
Bachelor of Science (BS), Applied physics, Bachelor of Science (BS), Applied physics at Beihang University
English, Chinese