Summary
Tristan Tian is a Senior Machine Learning Engineer based in Austin with 9 years of experience building production ML systems across NLP, computer vision, and large-scale data pipelines. He has driven ML work at Google (Android Security) and Uber (pricing incentive & optimization), blending model development with data engineering and prioritization for real-world impact. His background includes deploying efficient deep learning models to mobile (CoreML) and optimizing for latency and accuracy in constrained environments. Earlier roles in video analytics and cloud infrastructure exposed him to end-to-end system design and real-time event processing at national scale. Tristan also writes about advances in visual attention models for Towards Data Science, reflecting a continuous research mindset alongside hands-on engineering. He brings a rare combination of security-focused ML, mobile deployment experience, and production optimization expertise.
9 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Northeastern University (CN)
Master of Data Science, Data Science, Master of Data Science, Data Science at University of New Haven
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at National University of Singapore
Chinese, English, French