Summary
Chisung Song is an AI engineer and researcher based in Seoul with a decade of experience specializing in speech and language technologies, including ASR, SLU, NLU, and large language models. He has driven production-facing speech AI work—from live ASR monitoring and domain-specific language model updates to SLU demos and inverse text normalization—at companies like NCSOFT and Hana Institute of Technology. Comfortable across research and engineering, he combines Python/Linux toolchains, PyTorch/Transformer work, and practical deployment (Django, Superset) to close the gap between models and services. His background also spans fintech NLP and data-driven feature engineering for forecasting systems, showing versatility beyond speech. A published researcher and patent holder on Korean text error correction, he brings both academic rigor and product-minded iteration to language understanding problems. Outside core projects he presents as a HCI-curious generalist on GitHub, signaling broader interest in user-facing AI.
10 years of coding experience
8 years of employment as a software developer
공학사 Media Technology, 공학사 Media Technology at Soongsil University
highschool, highschool at 경문고등학교
English, Korean