Suwhan Baek is an AI researcher based in Seoul with nine years of experience applying machine learning to real-world signals and industrial problems. He currently researches future AI technologies at POSCO Holdings' AI R&D group, focusing on reinforcement learning, time-series analysis, explainable AI, and spiking neural networks. His background blends academic research—including a visiting research stint at the University of Bristol—and hands-on product work as the founder of an AI consulting/software firm. Prior projects span physiological signal classification, gait analysis, and a patented health-measurement method, reflecting a strength in multimodal biosignal processing. Suwhan bridges theory and practice, moving from publications and patents to deployable AI solutions for industry. Fluent in both research and applied engineering, he favors interpretable, time-aware models for mission-critical domains.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Master's degree at Kwangwoon University
Visit Research, Computer Science, Visit Research, Computer Science at University of Bristol
Contributions:19 commits, 18 pushes, 1 branch in 1 year 3 months
deep-learningpytorchcomputer-vision
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