Summary
Kyuhong Shim is an Assistant Professor and former industry staff engineer with a decade of experience at the intersection of speech, language, and multimodal generative AI. Trained as an ECE PhD at Seoul National University, he combines academic research with production-focused engineering from roles at Qualcomm, Seoul National University research labs, and AI startups. His work emphasizes efficient deep learning model design for on-device and real-time applications, making models practical for constrained environments. He leads the Speech and Language Processing Research lab and maintains an active Google Scholar portfolio highlighting contributions to neural network efficiency and multimodal generation. Notably, his career blends hands-on R&D at startup pace with systems-level deployment experience in a major semiconductor company.
10 years of coding experience
7 years of employment as a software developer
박사, Electrical and Computer Engineering, 박사, Electrical and Computer Engineering at 서울대학교 (Seoul National University)
학사, Electrical and Computer Engineering, 학사, Electrical and Computer Engineering at Seoul National University