Kwon Ko
Summary
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SeniorKwon Ko is a research-focused software engineer and PhD student in Computer Science at Stanford with eight years of hands-on experience building AI-infused systems spanning HCI, generative models, and applied alignment. Currently a Research Assistant in the Druckmann Lab working on human speech BCI, he has prior research and industry experience at Microsoft Research, NAVER WEBTOON, KAIST, and the University of Michigan where he led projects on text-to-image tools, synthetic NL dataset generation, and constitutional AI for community norms. As the first and only engineer at SkillBench he designed and shipped a full‑stack AI agent task-management web app that he successfully pitched to OpenAI and BP, demonstrating product sensibility alongside technical depth. His work consistently bridges prototyping and publication—several projects led at KAIST and NAVER resulted in peer-reviewed outputs and deployed systems for creative collaboration and content moderation. Fluent in both rigorous experimentation and end-to-end engineering, he pairs a mathematics and physics undergraduate foundation with multidisciplinary research to tackle practical AI+HCI problems. Notably, his background includes operational discipline from military service, which he leverages in coordinating complex, cross-institutional research efforts.
8 years of coding experience
Github Skills (61)
visualization10
projection10
dimensionality-reduction10
uniform10
manifold10
topological-data-analysis10
approximation10
image-synthesis9
text-recognition9
pattern-recognition9
stylegan9
ieee9
ocr-recognition9
scene-text9
vega-lite9
Programming languages (7)
Github contributions (5)
hyungkwonko/CV
Jan 2019 - Sep 2024
Contributions:49 pushes, 1 branch in 5 years 9 months
hyungkwonko/M1522.000500-infovis
Oct 2019 - Sep 2020
infovis term project
Contributions:30 PRs, 66 pushes, 9 branches in 11 months
infovispythonpython3term-projectterm
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