Summary
Weiwei Yang is a research-focused software engineer with 11 years of experience blending machine learning, Bayesian methods, and computational linguistics across academia and industry. After a PhD and research assistantship at University of Maryland, she contributed to large-scale ML systems at Meta and now advances high-efficiency computing research at Zhejiang Lab in Hangzhou. Her background spans applied deep learning for content ranking at Google, representation learning for media at Comcast, and regulatory NLP at FiscalNote, revealing a strong record of turning research into production features. Known for working at the intersection of probabilistic modeling and practical ML systems, she often bridges theoretical methods with engineering constraints in production environments. An early collaborator with leading labs and advisors, she brings both rigorous academic training and hands-on experience shipping impactful models at scale.
11 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Maryland
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Tsinghua University
English, Chinese