Yeon Seonwoo
Applied Scientist at Amazon
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolYeon Seonwoo is an Applied Scientist at Amazon with a decade of experience building and researching language models and agentic search systems. With a Ph.D. from KAIST focused on machine learning, deep learning, language modeling and stochastic processes, Yeon bridges rigorous academic research and product-facing ML at scale. Past internships at Amazon and Adobe and early research in evolutionary algorithms reflect a breadth from foundational algorithms to applied NLP. Based in the NYC area, Yeon is comfortable moving ideas from prototype to production and brings a rare combination of doctoral-level theory and hands-on engineering experience. An understated strength is a track record of interdisciplinary collaboration across research labs and industry teams, enabling fast iteration on experimental AI features.
10 years of coding experience
2 years of employment as a software developer
Graduate, Computer Science and Engineering, 4.0/4.5, Graduate, Computer Science and Engineering, 4.0/4.5 at Sungkyunkwan Univ.Ph.D., Machine Learning, Deep Learning, Language Modeling, Stochastic processes, Ph.D., Machine Learning, Deep Learning, Language Modeling, Stochastic processes at Korea Advanced Institute of Science and Technology
Korean, English
Github Skills (1)
react5
Programming languages (2)
Github contributions (5)
yeonsw/RankEncoder
Sep 2022 - Dec 2022
Contributions:17 commits, 12 pushes, 1 branch in 2 months
yeonsw/yeonsw.github.io
Nov 2019 - Jun 2022
A personal academic website built on top of a Google Sheet document that is super easy to maintain.
Contributions:27 pushes in 2 years 7 months
reactjavascriptsheetgoogle-sheeton-top
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