EROAD
Bob M. is a seasoned Machine Learning Engineer with extensive experience in data analysis and software development. Currently at EROAD since February 2022, Bob focuses on vehicle and driver data analysis, employing deep learning models such as CNN, Transformer, and LSTM, utilizing frameworks like PyTorch, Keras, and TensorFlow. Previous roles include positions at StayinFront, where Bob analyzed manufacturing processes and developed the TensorFlow Lite Framework, and Buildingestimates.com, which involved building information extraction systems. Bob also has experience as a Data Engineer with Woolworths NZ, where integration and ETL processes were managed, and as a Software Developer across multiple companies, including New Image International and Huatek Software Engineering, focusing on e-commerce solutions and Statistical Process Control systems. Bob earned a PhD in Computer Science from Northwestern Polytechnical University and holds both a Master’s and Bachelor’s Degree in Computer Science and E-Commerce from Sichuan Normal University.
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EROAD
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EROAD modernizes road charging and compliance by replacing paper-based systems with an easy-to-use, accurate and reliable electronic solution. Our advanced technology provides road charging, health and safety compliance, and fleet management services on the same platform to lower overall client and delivery costs.