Summary
Pascale Walters is a Senior Machine Learning Engineer with nine years of experience applying deep learning to computer vision problems, currently focused on indoor mapping and visual positioning. She has led teams from research to production—designing model pipelines, driving stakeholder R&D, and mentoring engineers—most recently at Mappedin and now at nesto. Her background spans sports analytics, medical imaging, and production broadcast-video tracking, giving her a rare blend of academic rigor and hands-on systems engineering. Pascale is adept at translating novel research into scalable products and has repeatedly secured stakeholder buy-in for R&D that became production features. Off the clock she’s as comfortable on the rugby pitch as she is debugging model deployments, which speaks to her collaborative, driven approach.
9 years of coding experience
6 years of employment as a software developer
High School, High School at Harbord Collegiate Institute
Master's degree (MASc), Systems Design Engineering, Master's degree (MASc), Systems Design Engineering at University of Waterloo
English, French