Kai Pin Liao
About Kai Pin Liao
Kai Pin Liao is a Senior Machine Learning Engineer specializing in perception at Zipline, where he has worked since 2023. He has an extensive background in machine learning and engineering, with degrees from the University of Illinois Urbana-Champaign and experience at various notable companies.
Work at Zipline
Kai Pin Liao is currently employed at Zipline as a Senior Machine Learning Engineer specializing in Perception. He has held this position since 2023, contributing to the development of advanced machine learning applications within the company.
Previous Experience in Machine Learning
Prior to his role at Zipline, Kai Pin Liao worked at Pilot AI as a Senior Machine Learning Engineer focused on Computer Vision from 2021 to 2022. He also served as Lead Machine Learning Engineer in Data Science at McKinsey & Company from 2017 to 2021, where he managed various machine learning projects.
Educational Background
Kai Pin Liao earned his Doctor of Philosophy (PhD) in Mechanical Engineering with a focus on Computational Science and Engineering from the University of Illinois Urbana-Champaign, completing his studies from 2009 to 2014. He also holds a Master’s degree in Mechanical Science and Engineering from the same institution, which he obtained from 2007 to 2009. His undergraduate studies were completed at National Taiwan University, where he received a Bachelor’s degree in Mechanical Engineering from 2001 to 2005.
Research and Teaching Experience
During his academic career, Kai Pin Liao served as a Graduate Research Assistant at the University of Illinois at Urbana-Champaign from 2007 to 2014, where he engaged in various research projects. He also worked as a Teaching Assistant at the same university from 2011 to 2013, supporting undergraduate education in engineering.
Early Career and Data Science Fellowship
Before his extensive experience in machine learning, Kai Pin Liao worked as a Research Scientist at FMC Technologies from 2014 to 2016. He also completed a Data Science Fellowship at Insight Data Science in 2016, where he gained practical skills in data analysis and machine learning applications.