Sanguk Park is a research engineer with 9 years of experience applying machine learning and full-stack engineering to medical imaging and data-intelligence products at Lunit. He has moved across teams—from Chest CT research to platform work on "Closing The Loop"—contributing backend Python packages, React admin interfaces, GCP/Kubernetes deployments, and data schema design. His background includes academic research in multi-agent systems and graphics, blending rigorous MS-level CS training with hands-on prototyping from IoT to clinical AI. Comfortable bridging research and production, he is particularly adept at designing pipelines and tooling that turn experimental models into maintainable, scalable systems.
Contributions:43 commits, 18 pushes, 1 branch in 2 months
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