Ivan Cisneros
About Ivan Cisneros
Ivan Cisneros is a Machine Learning Engineer at Motional, focusing on robotics and computer vision technologies to benefit society. He has a diverse background in engineering and research, with experience at institutions such as Carnegie Mellon University and NASA Jet Propulsion Laboratory.
Work at Motional
Ivan Cisneros has been employed as a Machine Learning Engineer at Motional since 2024. In this role, he focuses on applying machine learning techniques to enhance the capabilities of autonomous vehicles. His work aligns with Motional's mission to develop safe and reliable self-driving technology.
Education and Expertise
Ivan Cisneros holds a Bachelor of Science in Electrical Engineering from Harvard University, where he studied from 2012 to 2016. He furthered his education by earning a Master of Science in Robotics from Carnegie Mellon University, completing the program from 2020 to 2022. His academic background provides a solid foundation in both electrical engineering and robotics, which he applies in his professional endeavors.
Background
Ivan Cisneros has a diverse professional background in engineering and research. He began his career as an Electrical Engineering Intern at Tesla Motors in 2015. He then worked at NASA Jet Propulsion Laboratory as an Electrical Engineer from 2017 to 2020. After that, he joined Carnegie Mellon University Robotics Institute, where he served as a Graduate Student Research Assistant and later as Research Staff.
Achievements
Throughout his career, Ivan has engaged in various roles that emphasize his interest in robotics and computer vision. His experience includes working as a Teaching Fellow at Harvard School of Engineering and Applied Sciences and internships at Northrop Grumman Corporation and the University of Southern California. He also maintains a personal website that showcases his projects in robotics and computer vision.
Interdisciplinary Problem Solving
Ivan Cisneros is dedicated to leveraging science and engineering to address real-life problems. His interests lie in the intersection of robotics and computer vision technologies, which he believes can significantly benefit society. This commitment to interdisciplinary problem-solving is evident in his professional choices and project work.