David Hawbaker

David Hawbaker

Robotics Engineer @ Knightscope

About David Hawbaker

David Hawbaker is a Robotics Engineer with a background in computer science and software engineering. He has developed advanced robotic systems and actively engages with research in machine learning and computer vision.

Work at Knightscope

David Hawbaker currently serves as a Robotics Engineer at Knightscope, a position he has held since 2022. In this role, he focuses on developing advanced robotic systems. Prior to his current position, he worked as a Jr. Robotics Engineer at Knightscope for three months in 2022. His contributions to the company include the development of a full humanoid robot that utilizes video input and a quantum brain for movement control.

Education and Expertise

David Hawbaker has a diverse educational background in computer science and robotics. He earned a Master's degree in Computer Science from Portland State University in 2022. He also completed a Bachelor's degree in Computer Science at Washington State University from 2009 to 2013. In 2019, he achieved a Robotics Software Engineer Nanodegree from Udacity. Additionally, he studied Visual Effects and 3D Animation at Vancouver Film School, enhancing his technical skill set.

Background

David Hawbaker has accumulated extensive experience in software and robotics engineering. He began his career at Schweitzer Engineering Laboratories (SEL), where he held various roles, including Associate Software Engineer and Software Engineer. His tenure at SEL spanned from 2010 to 2016. He also worked at HP as a Firmware System Engineer from 2016 to 2020. His early experience includes internships at SEL, where he developed skills in software engineering and audio-video technology.

Achievements

Throughout his career, David Hawbaker has made significant contributions to robotics and software engineering. He developed a robotic hand controlled by EEG signals and implemented an unpaired style transfer GAN to generate content. His work reflects a commitment to advancing technology in robotics and machine learning, showcasing his ability to integrate innovative solutions into practical applications.

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