Sungjun Han
About Sungjun Han
Sungjun Han is an NLP researcher currently working at 42dot in Seoul, South Korea, focusing on AI for software-defined vehicles. He has prior experience at Amazon and Mercedes-Benz AG, and holds multiple degrees in Engineering Science and Computational Linguistics from the University of Toronto and the University of Stuttgart.
Work at 42dot
Sungjun Han currently works at 42dot as an NLP Researcher, a position he has held since 2023. He is part of the Conversational Intelligence Group, which focuses on artificial intelligence applications for software-defined vehicles. His role involves developing and implementing natural language processing techniques to enhance conversational AI systems within the automotive sector.
Previous Experience at Amazon
Prior to his current role, Sungjun Han worked at Amazon as an Applied Scientist for five months in 2021 and 2022. His tenure took place in Aachen, North Rhine-Westphalia, Germany, where he contributed to various projects related to natural language processing and machine learning.
Background in Machine Learning at Mercedes-Benz AG
Sungjun Han also has experience as a Machine Learning Researcher at Mercedes-Benz AG. He worked there for five months in 2021 in Sindelfingen, Baden-Württemberg, Germany. His role involved applying machine learning techniques to automotive applications, contributing to advancements in the field.
Education and Expertise
Sungjun Han holds multiple degrees from the University of Toronto, where he earned a Bachelor of Engineering (BE) and a Bachelor of Applied Science (BASc) in Engineering Science from 2015 to 2020. He furthered his education at the University of Stuttgart, achieving a Master of Science (MS) in Computational Linguistics from 2020 to 2023. His academic background provides a strong foundation in engineering and computational methods.
Research Intern Experience
In 2019, Sungjun Han gained practical experience as a Research Intern at D-Lab: King Mongkut's University of Technology Thonburi for three months. This role allowed him to apply his academic knowledge in a research setting, contributing to projects in the field of technology and engineering.
Data Analysis at Scotiabank
Sungjun Han worked as a Data Analyst at Scotiabank from 2018 to 2019 for a duration of 11 months in the Toronto, Canada Area. In this position, he utilized data analysis techniques to support decision-making processes and improve operational efficiency within the organization.