Summary
Hyoungseok Kim is a Senior Software Engineer with seven years of experience at the intersection of machine learning research and production systems, currently building autonomous vehicle and computer vision solutions at NVIDIA in Seoul. He graduated top of his class from KAIST Engineering and completed graduate studies in machine learning at Seoul National University, blending rigorous academic foundations with hands-on engineering. His work spans deep learning, reinforcement learning, and high-frequency trading systems, and he was first author on the ICML long talk "EMI: Exploration with Mutual Information," a notable accomplishment among competitive submissions. Comfortable moving research into production, he previously developed HFT and RL infrastructure at Unnoted and interned on ML teams at SK Telecom and Kiswe Mobile. Colleagues describe him as a researcher-engineer who pursues elegant, measurable solutions and brings unusual breadth—from theoretical exploration strategies to latency-sensitive system design.
7 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Machine Learning, Master's degree, Computer Science, Machine Learning at 서울대학교 (Seoul National University)
Bachelor's degree, Computer Science, GPA: 4.16/4.3 (1st rank in KAIST, College of Engineering), Bachelor's degree, Computer Science, GPA: 4.16/4.3 (1st rank in KAIST, College of Engineering) at 한국과학기술원(KAIST)
english, korean