RBC Borealis
Saghar Irandoust is a Machine Learning Research Engineer 2 at RBC Borealis since June 2022, focusing on foundation models and representation learning, and leading research in a subproject. Previous experience includes roles as a Machine Learning Research Engineer and intern, where Saghar contributed to time series forecasting and successfully produced multiple projects, including a patented model. As a Research Assistant at Simon Fraser University, contributions included inferring house floorplans from single panorama images and publishing work on indoor location history fusion. Saghar holds a Master of Science in Computer Science from Simon Fraser University, achieving a GPA of 4.11, and a Bachelor of Science in Electrical Engineering from Sharif University of Technology. Additional experience includes research internships at The Chinese University of Hong Kong and extensive teaching assistance in electrical engineering subjects.
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RBC Borealis
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to transform finance through world-class AI research, solutions, and a resilient data platform. Our teams are based in Toronto, Waterloo, Montreal, Calgary, and Vancouver, working together to reshape how RBC leverages technology to create value. We are hiring for several roles! Visit rbcborealis.com/careers/ to learn more.