Summary
Ye Tian is a software engineer with 11 years of experience specializing in machine learning, deep learning, and production engineering across ad tech and consumer finance. Currently at Meta working on multimodal AI, Ye previously built end-to-end ML systems—modeling, serving, and infra—at FreeWheel, including online bidding evaluation and model registry integrations. His background blends data science and engineering: leading data science teams at Capgemini, building data pipelines and experimentation at Better.com, and research in data mining. Comfortable with Golang and Kubernetes-based deployments, he focuses on turning experimental models into reliable, scalable services. Based in New York, he holds MS degrees from Georgia Tech and Stevens Institute of Technology, bringing both academic rigor and practical platform experience. Notably, he bridges post-training agent work and production ML, making him effective at shipping advanced AI features into large-scale systems.
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 Georgia Institute of Technology
Master of Science - MS Business Intelligence & Analytics, Master of Science - MS Business Intelligence & Analytics at Stevens Institute of Technology
Bachelor's degree Information Management Systems, Bachelor's degree Information Management Systems at University of International Relations