Youngjoo Seo
Staff Engineer at Samsung Electronics
South Korea
Summary
👤
Senior🎓
Top SchoolYoungjoo Seo is a Staff Engineer at Samsung Electronics with a decade of experience building core machine learning algorithms for SSD systems and a PhD background from EPFL in recurrent neural networks. His expertise spans NLP—particularly domain-specific LLM development—graph neural networks, model quantization, and meta-learning, with a current focus on applying generative AI to boost software engineering productivity. He combines industrial R&D experience with academic rigor from KAIST and EPFL, bridging theory and production deployment. Past internships and research roles at Firmenich, Gamaya, and Solidware reflect a breadth across applied ML domains from agriculture to industry. Notably, he continues hands-on research while shaping ML engines in storage devices, an uncommon intersection of LLMs and edge/embedded systems. Based in South Korea, he brings both deep technical specialization and practical product impact to large-scale ML engineering.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, 전기 및 전자 공학, 4.1/4.3, Bachelor's degree, 전기 및 전자 공학, 4.1/4.3 at Korea UniversityPh.D, Machine learning, Ph.D, Machine learning at Ecole polytechnique fédérale de LausanneMaster of Science (MS), 전기 및 전자 공학, 3.8/4.3, Master of Science (MS), 전기 및 전자 공학, 3.8/4.3 at 한국과학기술원(KAIST)
Korean, English, French
Github Skills (5)
recurrent10
graph7
neural-network4
classification1
machine-learning1
Programming languages (1)
Github contributions (5)
youngjoo-epfl/gconvRNN
Aug 2017 - Mar 2018
Contributions:26 commits, 3 PRs, 22 pushes in 6 months
convolutionalrecurrent-neural-networkgraph-neural-networksneural-networkgraph
youngjoo-epfl/AMT
Nov 2016 - Jun 2017
Contributions:5 pushes, 1 branch, 4 issues in 7 months
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