Summary
Devinder Kumar is a seasoned ML engineering and research leader with 11+ years of experience, currently heading ML Systems & Engineering at TD Bank in Toronto where he leads a 31–32 person org across ML, Data, MLOps and Platform teams. He specializes in operationalizing ML at scale—driving an enterprise ML platform on Azure/Databricks/Kubernetes, standardizing workflows that cut time-to-market by 75%, and owning a production model portfolio that delivers $145M annually. A former deep learning and XAI researcher with PhD-level training from Waterloo and postdoctoral ties to Stanford, he blends rigorous research (notably in computer vision and explainability) with pragmatic platform-building and patented architecture work. He has a track record of reorganizing teams to boost operational efficiency, mentoring cross-functional leads, and advising AI startups and national programs, bringing both strategic vision and hands-on delivery to large-scale ML adoption.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD) Artificial Intelligence, Doctor of Philosophy (PhD) Artificial Intelligence at University of Waterloo
Postdoctoral Fellow, Postdoctoral Fellow at Stanford University