Soobin Suh
AI Team Lead at AmazeVR
Seongnam-si, South Korea
Summary
👤
Senior🎓
Top SchoolSoobin Suh is an AI Team Lead with a decade of experience building production-ready machine learning systems across voice, search, and immersive VR. Currently leading AI at AmazeVR after progressing from hands-on engineering there, he has shipped ML tools for VR concerts including fisheye lens calibration, 3D mesh from 2D, and automated keying/compositing. Previously at NAVER he fine-tuned large language models, built embedding-based semantic search, and developed multi-turn query reformulation and NER/OOD models for conversational products. His background includes research in voice conversion at KakaoBrain and an M.E. in Industrial Engineering from Seoul National University, giving him a strong mix of applied research and systems experience. Based in Seongnam-si, South Korea, he combines model engineering with practical productionization know-how, often bridging deep learning research and service-level constraints.
10 years of coding experience
6 years of employment as a software developer
Master of Engineering - MEng, industrial engineering, Master of Engineering - MEng, industrial engineering at 서울대학교 (Seoul National University)경남과학고등학교
English, Korean
Github Skills (17)
attention-mechanism10
text-to-speech10
pytorch9
speech-synthesis9
synthesis9
speech9
transformer8
deep-learning8
electra5
cgan4
nlp4
audio3
natural-language-processing3
bert3
source-separation2
Programming languages (1)
Github contributions (5)
soobinseo/Transformer-TTS
Mar 2019 - Jan 2021
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
Contributions:11 commits, 11 PRs, 28 pushes in 1 year 10 months
pytorchsynthesisspeech-synthesistransformerpytorch-implementation
soobinseo/cycle-gan
Jul 2017 - Aug 2017
Contributions:22 commits, 28 pushes, 1 branch in 16 days
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