Gene Malkin
About Gene Malkin
Gene Malkin is a Principal Algorithm Engineer at Veo Robotics, Inc., where he has worked since 2019, focusing on developing a dual-channel 3D sensor for robotics safety applications. He has extensive experience in software development and a strong background in computer vision and optics, with previous roles at Raytheon, Pathogenetix, Gerber Technology, and Precitech.
Work at Veo Robotics
Gene Malkin has served as Principal Algorithm Engineer at Veo Robotics, Inc. since 2019. In this role, he has developed a dual-channel 3D sensor specifically designed for robotics safety applications, overseeing the project from initial concept through to industrial implementation. His work contributes to enhancing safety measures in robotic systems, demonstrating his expertise in the field.
Previous Experience
Before joining Veo Robotics, Gene Malkin held the position of Principal Software Engineer at Raytheon from 2017 to 2019. His career also includes significant roles such as Principal Software Architect at Pathogenetix, Inc. from 2010 to 2014, and Principal Software Engineer at Gerber Technology from 2000 to 2006. His diverse experiences span various aspects of software engineering and development.
Technical Skills and Tools
In his current role, Gene Malkin utilizes several programming and development tools, including Python, OpenCV, Tkinter, Matplotlib, and Git. His technical skills support software development and data processing tasks, contributing to the advancement of robotics technology and sensor applications.
Education and Expertise
Gene Malkin earned his M.Sc. in Solid State Physics from the University of Tartu, where he studied from 1979 to 1984. He later obtained a Ph.D. in Laser Spectroscopy from the same institution, completing his studies from 1986 to 1991. His academic background supports his strong expertise in computer vision, geometry, and optics principles, particularly in the context of industrial sensor development.
Specialization in Sensor Technology
Gene Malkin possesses specialized knowledge in Time-of-Flight (ToF) infrared sensor technology. His focus includes calibration, characterization, and benchmarking of these sensors, which are critical for various applications in robotics and industrial settings.