Yongjin Cho
Research Engineer at RLWRLD
South Korea
Summary
👤
Senior🎓
Top SchoolYongjin Cho is a research engineer and NLPer with 11 years of experience building high-performance search and production ML systems in South Korea. He helped develop Daum’s core search engine and later improved Kakao’s search and translation infrastructure, launching Kakao’s translation service and its first GPU-based serving system. More recently he led design and operation of a Kubernetes-based GPU ML platform at Upstage, optimizing utilization across 400–500 GPUs and enabling multi-node distributed training with GPU Direct RDMA. His work spans from low-level performance wins—such as SIMD-parallelized index compression—to applied deep learning for MT, ASR, and style-aware translation (Korean honorifics). Holding a Ph.D. in Computer Software Engineering from Seoul National University, he combines rigorous research background with hands-on production expertise across cloud, bare-metal, and hybrid environments. An understated strength is his ability to move models from research into scalable, secure serving systems (including data encryption and billing-aware LLM serving).
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Software Engineering, Doctor of Philosophy (Ph.D.), Computer Software Engineering at Seoul National University
Korean, English
Stackoverflow
81reputation
2kreached
3answers
1question
Github Skills (174)
transformers10
language-model10
python10
word-segmentation10
natural-language-generation10
deep-learning10
gpu10
compression10
twemproxy10
text-based10
ml10
tokenizer10
intent-classification10
neural-network10
transformer10
Programming languages (5)
Github contributions (5)
dsindex/tensorflow_examples
Mar 2016 - Jul 2019
Contributions:1 release, 114 commits, 170 pushes in 3 years 4 months
dsindex/textsum
Aug 2016 - Mar 2017
Contributions:23 commits, 21 pushes, 1 branch in 7 months
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