Changyeon Kim

Graduate Research Student @ Kaist

About Changyeon Kim

Changyeon Kim is a Graduate Research Student at KAIST, specializing in artificial intelligence. He has previous experience as a machine learning engineer at Kakao Corp and has contributed to research at the KAIST AI ALIN Lab.

Current Role at KAIST

Changyeon Kim is currently a Graduate Research Student at the Korea Advanced Institute of Science and Technology (KAIST), a position he has held since 2022. His research focuses on advancements in artificial intelligence, contributing to the ongoing projects at the KAIST AI ALIN Lab. This role allows him to apply his academic knowledge in a practical setting, furthering his expertise in the field.

Previous Experience at Kakao Corp

Changyeon Kim worked at Kakao Corp as a Machine Learning Engineer from 2020 to 2022. During this time, he gained valuable experience in machine learning and software development. Additionally, he completed a summer internship at Kakao Corp in 2020, which lasted for two months. His tenure at Kakao provided him with practical insights into the tech industry.

Internship Experience

In addition to his role at Kakao Corp, Changyeon Kim participated in a summer internship at Netmarble Corporation in 2018 for two months. These internships have contributed to his understanding of machine learning and software development, enhancing his skills and preparing him for his current research endeavors.

Education and Academic Background

Changyeon Kim studied at the Korea Advanced Institute of Science and Technology (KAIST), where he earned a Bachelor of Science in Computer Science from 2016 to 2021. He is currently pursuing a Doctor of Philosophy (PhD) in Artificial Intelligence at KAIST, which he began in 2022. His academic background provides a strong foundation for his research in artificial intelligence.

Personal Website and Research Interests

Changyeon Kim maintains a personal website at changyeon.page, where he showcases his academic and research interests. This platform serves as a resource for sharing his contributions to the field of artificial intelligence and highlights his ongoing research projects.

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