Seokhwan Kim is a Staff Software Engineer in the San Francisco Bay Area with 10 years of experience blending applied machine learning research and production software at companies including Google and Amazon. He progressed from research roles at Max Planck and I²R to NLP research at Adobe and senior ML scientist and principal scientist roles at Amazon, delivering scalable ML systems in consumer and cloud settings. He holds a Ph.D. in Computer Science and Engineering from POSTECH and brings deep research rigour to engineering problems, translating novel models into production-ready services. Known for bridging research and product teams, he focuses on reliable, performant ML deployments and interpretable NLP solutions. Colleagues value his ability to mentor engineers while making architecture trade-offs that balance iteration speed with long-term maintainability. More technical details and projects are available on his personal site.
10 years of coding experience
12 years of employment as a software developer
Ph.D. Computer Science and Engineering, Ph.D. Computer Science and Engineering at Pohang University of Science and Technology
Contributions:199 pushes, 1 branch in 8 years 9 months
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