Summary
James D is a Senior Staff Machine Learning Engineer with 11 years of software and data engineering experience, currently leading ML efforts at StackAdapt after a five-year software engineering stint at Google. He holds an MS in Machine Learning from Carnegie Mellon and a BS in Mathematics with Computer Science from MIT, blending strong theoretical foundations with practical production experience. At StackAdapt he progressed from data engineering into senior ML leadership, focusing on scalable data pipelines and applied ML in advertising technology. His background includes building preprocessing and testing systems at Salesforce and Oracle, and early work on sensor algorithms and scientific software at MIT and Synaptics. Not actively looking for new roles or product outreach, he brings a disciplined, research-informed approach to shipping reliable, large-scale ML systems. Based in Canada, he pairs deep academic training with hands-on systems engineering across the full data-to-model lifecycle.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.) Mathematics Computer Science, Bachelor of Science (B.S.) Mathematics Computer Science at Massachusetts Institute of Technology
High School Diploma, High School Diploma at Honourable Vincent Massey Secondary School
Master of Science (M.S.) Machine Learning, Master of Science (M.S.) Machine Learning at Carnegie Mellon University