Curie Kim is a research-focused software engineer with nine years of experience bridging industrial product development and academic research in electronic design automation and robotics-related perception. Currently a PhD research intern at NVIDIA and a PhD candidate in Computer Science at University of Maryland, she has a track record of translating novel algorithms into practical systems—evidenced by a Korea patent for a compression method that cut I2C latency across multiple camera sensor products at Samsung. Her research staff role at Gwangju Institute of Science and Technology produced a Dual-Cycled Cross-View Transformer for unified road layout estimation and work toward a single-network deep SLAM solution, signaling strength in geometry-aware learning and transformer architectures. Comfortable moving between firmware-level optimization and cutting-edge model design, she combines rigorous electrical engineering foundations from Korea University and KAIST with hands-on experience in commercial R&D environments.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Electrical engineering, Bachelor's degree, Electrical engineering at 고려대학교
Exchange program, Electrical Engineering, Exchange program, Electrical Engineering at The George Washington University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Maryland
Master of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at 한국과학기술원(KAIST)
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