Machine Learning Software Engineer at RBC Borealis
Old Toronto, Ontario, Canada
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Summary
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Brendan Schell is a Machine Learning Software Engineer with 10 years of experience building privacy-first AI and production ML infrastructure, currently contributing to RBC Borealis. He has led cross-functional teams and shipped systems from federated learning frameworks to LLM-powered search, with deep hands-on experience in privacy-preserving ML and secure data science from roles at integrate.ai and OpenMined. Brendan’s background spans applied research and product engineering—developing transfer learning methods, automation frameworks on Spark, and pragmatic NLP and computer vision solutions for industry clients. He founded a data consultancy where he delivered bank-grade risk scoring and production image classifiers, and earlier work in project controls and automation shows a consistent pattern of turning complex data into operational tools. Based in Toronto with an MS in Analytics from Georgia Tech, he blends rigorous technical depth with a focus on ethics and real-world impact.
10 years of coding experience
10 years of employment as a software developer
Specialization Certificate, Data Structures and Algorithms, Specialization Certificate, Data Structures and Algorithms at Coursera
Master of Science - MS, Analytics, Master of Science - MS, Analytics at Georgia Institute of Technology
Bachelor of Engineering (BEng), Nuclear Engineering, Bachelor of Engineering (BEng), Nuclear Engineering at University of Ontario Institute of Technology
Nanodegree Credential, Self-Driving Car Engineer, Nanodegree Credential, Self-Driving Car Engineer at Udacity
A library for answering questions using data you cannot see
Contributions:5 pushes in 1 month
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Brendan Schell - Machine Learning Software Engineer at RBC Borealis