Zhaobo Ding is a Machine Learning Engineer with eight years of experience combining software engineering and applied ML, currently building production ML systems at StackAdapt after progressing from Applied Machine Learning Scientist. He holds an MEng from the University of Toronto and a Math/CS bachelor from Waterloo, and has research experience in AutoML from FORCOLAB that informs his pragmatic approach to model automation and deployment. Past roles span algorithm and software engineering across startups and hardware-adjacent companies, giving him fluency in both research-driven prototyping and production-grade code. Colleagues would note he bridges the gap between experimental AutoML ideas and reliable, scalable implementations—an emphasis reflected in his steady move into production ML at an ad-tech company.
8 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at High School Affiliated to Nanjing Normal University
Master of Engineering - MEng, Electrical & Computer Engineering, Master of Engineering - MEng, Electrical & Computer Engineering at University of Toronto
Bachelor of Mathematics, Mathematics and Computer Science, Bachelor of Mathematics, Mathematics and Computer Science at University of Waterloo
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Zhaobo Ding - Machine Learning Engineer at StackAdapt