Summary
Timothy Zhang is a machine learning engineer with 11 years of experience building high-impact ML systems across ads ranking, customer lifetime value, fraud detection, authentication, and network reliability that have influenced products used by millions to billions of users. He has led end-to-end production initiatives—from researching hybrid neural-symbolic models in academia to deploying CatBoost and survival-based CLV systems on Python/AWS that steered over $1B in marketing decisions. At Meta he focuses on ads ranking model improvements, and prior roles at HelloFresh, Pindrop, and Comcast highlight his strengths in feature engineering, MLOps, real-time streaming, and scalable training pipelines. Timothy combines research rigor (publications and prototype repos) with pragmatic engineering: migrating 100+ features to a feature store, architecting ML governance with MLflow, and building anomaly detection at 10M events/min. He maintains an active personal GitHub (github.com/moduio) showcasing reproducible projects that bridge his academic work and production practice.
11 years of coding experience
8 years of employment as a software developer
Master of Science - MS Analytics, Master of Science - MS Analytics at Georgia Institute of Technology
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at PennWest Edinboro
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stony Brook University