Namkyun Kim
선임연구원 at 한국자동차연구원
Gwangju, South Korea
Summary
👤
Senior🎓
Top SchoolNamkyun Kim is a senior researcher and PhD candidate specializing in speech and audio machine learning, with nine years of experience developing deep-learning solutions for speech recognition, sound event detection, and real-time audio systems. Based at KAERI and formerly at the AiTeR Lab of Gwangju Institute of Science and Technology, he has led projects from anomaly-sound classification to tunnel-based traffic-accident detection and real-time speech emotion and recognition implementations. His work spans algorithm research, productization support, and multi-platform deployment, combining strong academic rigor with practical engineering for embedded and real-time environments. Known for high academic performance and a systematic approach to pronunciation and language modeling, he brings uncommon depth in transferring research prototypes into operational systems for transportation and industrial applications.
9 years of coding experience
7 years of employment as a software developer
석사, 전기전자컴퓨터공학, 석사, 전기전자컴퓨터공학 at 광주과학기술원학사, Electrical and Electronics Engineering, 3.98, 학사, Electrical and Electronics Engineering, 3.98 at 전남대학교
English, Korean
Github Skills (8)
youtube9
gist9
cli8
ffmpeg8
postgresql7
sql7
database7
youtube-dl7
Programming languages (1)
Github contributions (5)
AiTeRLab-GIST/GC_track3_DB_GIST
May 2020 - Mar 2021
3rd Grand Challenge track 3 DB developed by GIST
Contributions:11 commits, 4 PRs, 8 pushes in 10 months
grand-challengesqlgranddatabasepostgresql
AiTeRLab-GIST/GIST_NOISE_DB-KETIflagship
Jun 2020 - Jul 2020
Contributions:5 pushes, 1 branch in 23 days
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