Yan Ma
About Yan Ma
Yan Ma is a Machine Learning Engineer currently employed at Dabble in Kitchener, Ontario, where he has worked since 2020. He has a background in computer vision, control systems, and full-stack development, and has held various positions in the tech industry, including roles at Qualcomm and Research In Motion.
Work at Dabble
Yan Ma has been employed at Dabble as a Machine Learning Engineer since 2020. In this role, he focuses on developing innovative computer vision AI products. Dabble Studio, which he founded, was part of the Y Combinator Winter 2015 batch, highlighting its commitment to advancing technology in the field of artificial intelligence.
Previous Employment Experience
Prior to his current role, Yan Ma held several positions in the tech industry. He worked at Qualcomm as a Developer in Data Services for four months in 2009. Additionally, he was a Test Automation Developer at Research In Motion for three months in 2007 and worked as a Developer in RF Driver at the same company for three months in 2008. He also served as a Computer Vision Engineer at Placenote from 2017 to 2020.
Education and Expertise
Yan Ma graduated from the University of Waterloo, where he studied Mobile Robotics and earned a Master of Applied Science (MASc) degree from 2010 to 2011. He has expertise in control systems, which is essential for developing technologies related to autonomous vehicles. His educational background includes significant research experience at the Waterloo Autonomous Vehicles Laboratory.
Current Role at Headout
In 2024, Yan Ma took on the position of Associate Director of Augmented Experiences at Headout. This role involves overseeing projects that enhance user experiences through augmented reality technologies, further expanding his expertise in the tech industry.
Technical Skills and Background
Yan Ma possesses a strong background in full-stack development, which complements his skills in machine learning and computer vision. His diverse technical skill set enables him to contribute effectively to projects that require a combination of software engineering and advanced AI techniques.