Paul Baim
About Paul Baim
Paul Baim serves as the VP of Product Management and Systems Engineering at DreamVu Inc., bringing extensive experience in systems engineering and product management across various industries, including robotics and autonomous vehicles.
Current Role at DreamVu
Paul Baim serves as the Vice President of Product Management and Systems Engineering at DreamVu Inc. since 2022. In this role, he focuses on overseeing product development and engineering strategies, leveraging his extensive background in both hardware and software systems. His current position is based in Greater Boston, where he applies his expertise to enhance product offerings and drive innovation within the company.
Previous Experience at Toyota Research Institute
From 2016 to 2019, Paul Baim worked as the Manager of Systems Engineering at Toyota Research Institute in Cambridge, MA. During his three years at the institute, he contributed to various projects that aimed to advance automotive technologies through systems engineering principles. His role involved managing engineering teams and ensuring the successful integration of complex systems.
Professional Background at Locus Robotics
Paul Baim held the position of Senior Director at Locus Robotics from 2019 to 2021 in Greater Boston. His responsibilities included leading product management initiatives and overseeing engineering efforts within the robotics sector. His experience at Locus Robotics further solidified his expertise in robotics and automation technologies.
Educational Qualifications
Paul Baim earned a Bachelor’s Degree in Electrical Engineering from the University of Florida. He further advanced his education by obtaining a Master’s Degree in Computer Science from the University of Illinois Urbana-Champaign. His academic background provides a strong foundation for his extensive career in engineering and technology.
Patents and Innovations
Paul Baim holds five issued US patents in the field of robotics. His work includes leading the commercialization of innovative imaging technology that captures stereo panoramic images up to 360°, utilizing advanced Machine Learning techniques. His contributions to the field reflect his commitment to driving technological advancements and solving complex engineering challenges.