Dantong Dong is a software engineer with experience at leading technology companies such as Google and TuSimple. Dantong began as an undergraduate researcher, contributing to projects in the Biomimetic Millisystems Lab and the Hybrid Systems Laboratory at UC Berkeley, where skills in robotics and trajectory planning were developed. An internship at UC Berkeley's Electrical Engineering & Computer Sciences (EECS) involved building a distributed synchronous framework for multi-robot systems. Dantong's internship at Cloudera focused on enabling authorization support for data connectors in Apache Hive, while a role at Berkeley DeepDrive involved extracting and labeling features to predict bicyclist behavior in urban settings. Dantong holds a Bachelor’s degree in Computer Science from the University of California, Berkeley, and a Master’s degree in Electrical and Computer Engineering from Carnegie Mellon University.
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