Hojin Joseph Mok

Hojin Joseph Mok is a skilled Machine Learning Engineer with extensive experience in developing and deploying machine learning models across various industries. Currently at LBMX, Hojin Joseph Mok utilizes popular data science and machine learning packages such as TensorFlow and Scikit-Learn, specializing in data preprocessing, feature engineering, and time series forecasting. Previous roles include significant contributions at Fluence Analytics, where automated tools for data exploration were created, and at YaYA Foods Corp., where automation design and data mining processes were developed for beverage manufacturing. Hojin Joseph Mok also has engineering experience from positions at Apple and Axon, focusing on recycling systems and automated manufacturing solutions, as well as internships at Christie Digital Systems and Multimatic Inc., where mechanical design and quality assurance were emphasized. Hojin Joseph Mok holds a Bachelor of Applied Science degree in Mechanical Engineering from the University of Waterloo.