Summary
Yingxue Wang is a software engineer with nine years of experience blending robotics research and production-scale engineering, currently enabling App Campaigns at Google from Sunnyvale. Trained in Engineering Science (Robotics) at the University of Toronto and completing a MASc in Robotics at the University of Michigan, she bridges ML/CV/NLP research—published work in speech processing and hands-on projects in transformer-based detection—with pragmatic systems development. Her background spans cloud device provisioning at Microsoft Azure, automation and monitoring scripts, and robotics task-scheduling and perception research that boosted performance in academic projects. Comfortable across C++, Python, and web stacks, she brings a researcher’s rigor to production problems and a practitioner’s focus on testable, automatable solutions. A not-obvious thread through her career is repeated success turning research prototypes (e.g., semi-supervised CV pipelines and TTS feature replacements) into robust, testable components used in larger systems.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Mechatronics, Robotics, and Automation Engineering, Master's degree, Mechatronics, Robotics, and Automation Engineering at University of Michigan
Bachelor of Applied Science (B.A.Sc.), Engineering Science - Robotics, Bachelor of Applied Science (B.A.Sc.), Engineering Science - Robotics at University of Toronto
High School, High School at Bronte College of Canada