Minsub Yim
Machine Learning Engineer at Levit 레브잇 (Alwayz 올웨이즈)
Seoul Incheon Metropolitan Area South Korea
Summary
👤
Senior🎓
Top SchoolMinsub Yim is a Machine Learning Engineer with nine years of experience building and operating ML services across vision, speech, and recommendation domains, currently working at Levit in Seoul. He has driven production recommendation systems and CTR improvements at Viva Republica, built multi-tower embedding and sequence models for high-throughput financial routing, and led credit-scoring efforts for BNPL products. At NAVER he delivered low-latency speaker verification and diarization systems and re-engineered image retrieval pipelines, winning an internal innovation award. Earlier roles span applied research in demand forecasting, energy prediction with LSTMs, and ML-assisted labeling systems that boosted annotation efficiency by 45%. Comfortable bridging research and production, he often optimizes models for real-world constraints (e.g., halving GPU memory footprints) and focuses on services used by many customers. With an MEng in Computer Science from the University of Michigan and a BA in Mathematics from Cornell, he blends strong theoretical foundations with pragmatic system engineering.
9 years of coding experience
11 years of employment as a software developer
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at University of MichiganBachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at Cornell UniversityWahlert Catholic High School
Github Skills (12)
deep-learning8
machine-learning8
pytorch8
data-science8
python8
tensorflow7
packaging7
installer7
pip6
jax5
neural-network5
package-installer2
Programming languages (2)
Github contributions (5)
msyim/RefineDet
Feb 2020 - Jun 2020
Contributions:24 commits, 16 pushes, 1 branch in 3 months
msyim/VGG16
Mar 2017 - Feb 2020
Contributions:10 commits, 9 pushes, 1 branch in 2 years 11 months
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