Kichang Yang
Sr. Applied Research Scientist at Kakao Corp
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolKichang Yang is an AI research engineer with nine years of experience building and shipping large-scale ML systems from research prototypes to production. Currently a Senior Applied Research Scientist at Kakao, he has driven measurable quality improvements while lowering serving costs versus OpenAI-based baselines on production services. He was a lead engineer on EleutherAI’s Polyglot (Korean) team and contributor to the OSLO training library, implementing low-level primitives such as 2.5D tensor parallelism, multi-dimensional de-parallelization, and Hugging Face wrappers for large-model training. His background spans product-facing ML at Kakao (real-time news and view metadata systems), research at LG AI Research, and hands-on startup engineering, giving him a rare mix of systems-level parallelism expertise and practical deployment experience for non-English LLMs.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, School of Software, Bachelor's degree, School of Software at Soongsil University
English, Korean
Github Skills (115)
node-js10
mobile-development10
python10
windows10
tensorflow-2-010
mlops10
huggingface10
deep-learning10
javascript10
chatgpt10
app-framework10
linux10
ml10
audio10
llmops10
Programming languages (7)
Github contributions (5)
jason9693/Style-Transfer
Feb 2018 - Dec 2018
Stanford CS231n(2017) Assignment3.
Contributions:21 commits, 2 PRs, 19 pushes in 10 months
pytorchstanforddeep-learningstanford-cs231ncs231n
jason9693/midi-neural-processor
Jul 2019 - Jul 2021
midi processor library for PerformanceRNN & MusicTransformer published by "Google Magenta"
Contributions:8 commits, 1 PR, 7 pushes in 2 years
midimagentaaudiomusicpublished
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