Seokhwan Kim

Staff Software Engineer at Google

San Francisco Bay Area United States
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Summary

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Senior
🎓
Top School
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.
code10 years of coding experience
job12 years of employment as a software developer
bookPh.D. Computer Science and Engineering, Ph.D. Computer Science and Engineering at Pohang University of Science and Technology
languagesEnglish, Korean
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Github Skills (34)

unstructured10
leaderboard10
angularjs10
conversations10
evaluation9
coveralls9
reproducible-research9
trend9
travis-ci9
django9
codecov9
modeling9
nlp9
docker8
python8

Programming languages (1)

Python

Github contributions (5)

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DSTC10 Track 2 - Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations
Contributions:33 commits, 7 PRs, 30 pushes in 9 months
nlpknowledgeconversationsspokendialogue
Contributions:199 pushes, 1 branch in 8 years 9 months
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Seokhwan Kim - Staff Software Engineer at Google