Giovanni Sutanto

Giovanni Sutanto

Senior Software Engineer @ Intrinsic

About Giovanni Sutanto

Giovanni Sutanto is a Senior Software Engineer with a strong background in robotics and machine learning. He has worked at various prestigious organizations, including Intrinsic, X, and the Max Planck Institute for Intelligent Systems, and holds advanced degrees in Computer Science and Electrical Engineering.

Work at Intrinsic

Giovanni Sutanto currently serves as a Senior Software Engineer at Intrinsic, a position he has held since 2023. Prior to this role, he worked as a Software Engineer at the same company from 2021 to 2023. Both positions were based in Mountain View, California, where he contributed to projects focused on robotics and software development.

Education and Expertise

Giovanni Sutanto has an extensive educational background in engineering and computer science. He earned a Doctor of Philosophy (Ph.D.) in Computer Science with a focus on Robotics from the University of Southern California, where he also completed a Master of Science (M.S.) in Intelligent Robotics. His undergraduate studies were in Electrical Engineering (Control Engineering) at Institut Teknologi Bandung. He has pursued additional coursework through Massive Open Online Courses (MOOCs) in Electrical Engineering and Computer Science, as well as Artificial Intelligence from various platforms.

Background

Giovanni Sutanto's professional journey includes significant roles in both research and industry. He worked as a Graduate Research Assistant at the Max Planck Institute for Intelligent Systems from 2015 to 2019. His experience also includes positions as a Robotics Engineer at ABB Robotics and internships at NVIDIA and Facebook AI, where he focused on robotics research and development.

Achievements

Giovanni Sutanto has developed expertise in several key areas relevant to robotics and machine learning. His interests include differentiable programming, constrained optimization, and the control of dynamical systems. These skills are essential for creating efficient algorithms and stable robotic systems, contributing to advancements in the field.

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