Viaduct
Wenli Looi is a Machine Learning Engineer at Viaduct, focusing on large scale ML modeling of automotive data and developing efficient production ML systems. Prior to that, Wenli worked as a Software Engineer at Google, where they were involved in developing an internal framework for data processing. Wenli also interned as a Software Engineer at Microsoft, where they worked on a time zone detection feature for Windows 10. With a dual degree in Chemical Engineering and Computer Science from the University of Calgary, Wenli later obtained a Master of Science in Computer Science from Stanford University.
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Viaduct
At Viaduct, they are laser-focused on developing end-to-end machine learning and data analytics platform to empower OEMs to manage, analyze, and utilize their connected vehicle data.