Ethan Kou is an accomplished Autonomous Driving Software Engineer at Formula Electric at Berkeley, specializing in optimizing perception pipelines and implementing advanced algorithms for sensor fusion and localization. With experience as a Software Engineer Intern at NVIDIA and Meta, as well as roles in generative AI and machine learning, Ethan has demonstrated expertise in various cutting-edge technologies. Significant contributions include fine-tuning AI for pediatric sleep coaching at Fabler and advancing image processing techniques during a research stint at the University of Michigan. Ethan's achievements extend to winning hackathons and being involved with notable organizations such as Matterport and Berkeley Artificial Intelligence Research, reflecting a strong foundation in software development and robotics. Currently pursuing a Bachelor's degree in Electrical Engineering & Computer Sciences at UC Berkeley, Ethan maintains a high academic standard with a GPA of 3.957.
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