Summary
Yejin Kim is a software engineer and junior ML practitioner based in Seoul with 8 years of hands-on experience and 2+ years focused on designing deep learning models for temporal and spatiotemporal data. She has built end-to-end tooling including a data collection program, automated experiment pipelines, and a visual analysis system, demonstrating a blend of research rigor from Sejong University and practical engineering at 42Maru. Comfortable in Python and Java, she also brings strong mathematical foundations and teaching experience in algorithms and C, which help her translate complex models into reliable code. Notably, her international stint at Purdue produced an applied OpenCV bird-detection demo, reflecting a knack for turning academic projects into field-ready solutions. Eager to join a dynamic team, she’s poised to contribute to cutting-edge ML systems that bridge visualization, automation, and real-world data challenges.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Sejong University
English, Chinese, Korean