Jun Geun Park
About Jun Geun Park
Jun Geun Park is a Senior Principal Engineer in the Architecture Group at Cambridge Mobile Telematics, where he has worked since 2021. He holds a Ph.D. from the Massachusetts Institute of Technology and has extensive experience in data-centric applications, AI integration, and machine learning infrastructure.
Work at Cambridge Mobile Telematics
Jun Geun Park has been working at Cambridge Mobile Telematics since 2021 as a Senior Principal Engineer in the Architecture Group. His role involves overseeing architectural decisions and engineering practices within the organization. Prior to this position, he held various roles at the same company, including Senior Data Scientist/Software Engineer from 2013 to 2017, Engineering Manager, Data from 2017 to 2018, Principal Software Engineer - Data & Machine Learning from 2019 to 2020, and Lead Engineer from 2020 to 2021. His extensive experience at Cambridge Mobile Telematics has contributed significantly to the development of data-centric applications and machine learning infrastructures.
Education and Expertise
Jun Geun Park earned a Doctor of Philosophy (Ph.D.) in Aeronautics and Astronautics from the Massachusetts Institute of Technology, where he studied from 2006 to 2013. He also holds a Bachelor of Science in Mechanical and Aerospace Engineering from Seoul National University, completed from 2000 to 2003. His academic background is complemented by expertise in designing data-centric applications that integrate artificial intelligence and data algorithms for large-scale production environments.
Background
Before his tenure at Cambridge Mobile Telematics, Jun Geun Park worked as a Graduate Research Assistant at MIT from 2006 to 2013. He also gained experience as a Research Intern at Qualcomm in 2012 and as an Intern at Samsung Electronics in 2002. Additionally, he served as an Undergraduate Research Assistant at Seoul National University from 2003 to 2004. This diverse background in research and engineering has equipped him with a solid foundation in both theoretical and practical aspects of technology.
Achievements
Jun Geun Park has developed several notable projects during his career. He created 'Mapi', a maps library that constructs a universally represented road network graph using geographic and geometric computations. He also built 'Eksray', an internal infrastructure that supports running Ray clusters on Kubernetes for machine learning model training. Furthermore, he developed 'FlowBlocks', a dataflow graph execution framework for Python, which allows for the composition of modular feature extraction programs for machine learning. His work demonstrates a strong focus on integrating data and machine learning technologies.