Sungchul Kim is an AI Team Lead and research engineer with four years of hands-on experience building and deploying vision AI systems, from real-time inspection (PouchEye/PillEye) to medical imaging and industrial counting. He blends research-grade innovations—such as rapid SAM-based mask generation, efficient SAM fine-tuning, and supervised contrastive learning for small-data regimes—with production MLOps that automate data, training, evaluation, and deployment. At Intel he maintained widely used tooling like OpenVINO Training Extensions and contributed practical compression and domain-adaptation techniques; at startups he translated those advances into product-grade real-time inspection and counting systems. Comfortable across the full model lifecycle, he actively contributes to open-source ecosystems and collaborates across multinational teams to optimize performance. Colleagues rely on him for rapid POCs that surface deployable improvements, and he’s driven by a goal to independently develop, deploy, and operate models across diverse domains.
4 years of coding experience
7 years of employment as a software developer
Master's degree, Biomedical Engineering, Master's degree, Biomedical Engineering at University of Ulsan
Bachelor's degree, Biomedical Engineering, Bachelor's degree, Biomedical Engineering at Yonsei University
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