Summary
Nissan Pow is a Senior Software Engineer with 15 years of experience building large-scale ML and data infrastructure across Netflix, Amazon, FAIR, Thomson Reuters, and Bloomberg. He blends deep learning and NLP research with production engineering—having moved from research roles at Mila and Facebook AI into high-impact ML product work like Prime Video ranking and Netflix ML infrastructure. His background includes designing petabyte-scale data pipelines, real-time financial analytics, and recommender systems, reflecting a rare fluency across research, data engineering, and production ML. Based in Los Gatos, he pairs rigorous academic training from Waterloo and McGill with practical system design, and has repeatedly translated knowledge-graph and relation-extraction research into deployed features. Notably, he has experience shipping core search and ingestion platforms as well as ML models that directly influence user-facing ranking and personalization.
15 years of coding experience
14 years of employment as a software developer
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at McGill University
Mathematik und Informatik, Mathematik und Informatik at University of Mannheim
BMath Computer Science, BMath Computer Science at University of Waterloo
Chinese