RBC Borealis
Mayank Anand is a seasoned data engineer currently serving as Data Engineer II at RBC Borealis since July 2022, where responsibilities include engineering scalable data solutions for ATOM, a foundation model for financial services. Prior experience encompasses roles at the University of Waterloo as an Undergraduate Research Assistant, and internships at NVIDIA focusing on large-scale NLP workloads, FairVentures addressing distributed data deduplication, and FreshBooks on cloud data infrastructure migration. Early career contributions include business intelligence development at ecobee and analytics engineering at IAR Group. Mayank Anand is equipped with a Bachelor's degree in Computer Science from the University of Waterloo, complemented by foundational education at Rukmini Devi Public School.
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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.