Donghyun Kim
Applied AI Engineer at Sendbird
South Korea
Summary
👤
Senior🎓
Top SchoolDonghyun Kim is an Applied AI Engineer with a decade of experience building production-grade machine learning and deep learning systems, currently working on delight.ai at Sendbird. He led multimodal LLM efforts like HyperCLOVA X at NAVER Cloud and has deep hands-on expertise in OCR from his time at NAVER CLOVA. Fluent in vision-language models, backbone architectures, and MLOps, he bridges research and deployment—evidenced by a Google Scholar presence and active GitHub focus on VLM and infrastructure. Trained at KAIST (M.S. in AI) and Inha University, he blends rigorous academic grounding with practical product delivery in South Korea’s leading AI teams. An understated strength is his track record of moving novel multimodal research into scalable services rather than keeping it solely in the lab.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Inha University 인하대학교Master's degree 인공 지능(A.I), Master's degree 인공 지능(A.I) at Korea Advanced Institute of Science and Technology
English, Korean
Github Skills (163)
transformers10
language-model10
cnn-classification10
python10
image-processing10
mixnet10
infrastructure10
deep-learning10
gpu10
vision-transformer10
backbone10
efficientnet10
nvidia-docker10
distributed-training10
imagenet10
Programming languages (10)
Github contributions (5)
clovaai/CLEval
Jun 2020 - Mar 2025
CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks
Contributions:1 release, 5 PRs, 3 pushes in 4 years 9 months
nlpevaluation-metricstext-recognitionrecognitionevaluation
dhkim0225/keras-image-segmentation
Feb 2018 - Apr 2018
Contributions:30 commits, 26 pushes, 3 branches in 1 month
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