Carter Demars

Carter Demars is a Machine Learning Developer at Kinaxis since May 2023, specializing in probabilistic uncertainty estimation for time series forecasting. Simultaneously, Carter serves as the Director of Education at WAT.ai, focusing on the development and delivery of educational content for undergraduate AI researchers, while also co-leading an undergraduate research group that enhances photovoltaic forecasting through deep learning and tree-based models. Previous experience includes a role as a Machine Learning Developer at Kinaxis, where automation of machine learning pipelines was a key responsibility, a Machine Learning Intern at Ciena working on anomaly detection for optical amplifier performance, and a Research Assistant at the Bank of Canada concentrating on inflation forecasting and analytical modeling for mortgage rates. Carter holds a Bachelor of Applied Science in Mechatronics Engineering from the University of Waterloo and has prior experience as a Hockey Official from 2015 to 2018.