Bingqing Christine Yu

Bingqing Christine Yu has a diverse work experience spanning over several roles and industries. Bingqing Christine began their career in 2010 as an Assistant at SES, a company specializing in power system grounding and electromagnetic interference. In 2014 and 2015, they worked as a Software Intern and a Hardware Intern at Matrox Video - Matrox Electronic Systems, respectively.

In 2016, Bingqing transitioned to the Centre for Intelligent Machine, where they first worked as a Student Researcher for nine months before transitioning into a Thesis Graduate Student role, focusing on deep learning in computer vision.

Bingqing joined Coveo in 2018 as a Machine Learning Developer, and they continued in this role until 2021. During this time, they gained significant experience in machine learning development.

Bingqing Christine'smost recent experience has been at Sama, where they have held multiple roles. Bingqing Christine began in 2021 as a Machine Learning Developer and worked their way up to Senior Applied Scientist. As an ML Tech Lead, they researched and integrated state-of-the-art detection, segmentation, tracking, pose estimation, vision-language, and foundation models into production workflows, specifically for 2D and 3D data labeling platforms. Additionally, they worked on 3D point cloud detection and tracking, as well as 3D SLAM for autonomous driving. In this role, they collaborated with the MLOps team to ensure efficient ML operations by integrating Argo Workflows and leveraging Kubernetes-based monitoring and autoscaling tools.

Overall, Bingqing Christine Yu has a strong background in machine learning development, computer vision, and deep learning. Bingqing Christine has experience in both academic research and industry settings across various roles and responsibilities.

Bingqing Christine Yu holds a Bachelor's degree in Electrical Engineering from McGill University, which they obtained from 2013 to 2016. Bingqing Christine pursued further education at the same university, completing a Master's degree in Electrical Engineering with a specialization in Centre for Intelligent Machine from 2017 to 2018.