Sung-feng Huang
AI Research Scientist at NVIDIA
Taipei–Keelung Metropolitan area Taiwan
Summary
🤩
Rockstar🎓
Top SchoolSung-feng Huang is an AI research scientist with nine years of experience specializing in speech and language technologies, now working at NVIDIA after prior research roles at Apple and multiple Taiwan tech firms. He holds a PhD from National Taiwan University and focuses on deep learning approaches—especially unsupervised and self-supervised representation learning, meta-learning, speech separation, ASR, and TTS. Sung-feng’s work bridges signal processing and NLP, producing practical advances in voice conversion and speech synthesis while keeping an eye on scalable model training. He combines rigorous academic training with industry research experience across both startups and global leaders, and is known for exploring cross-modal techniques that improve robustness in low-resource speech tasks.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Graduated Institute of Communication and Engineering, Doctor of Philosophy - PhD Graduated Institute of Communication and Engineering at National Taiwan University
Github Skills (60)
representation-learning10
speech-to-text10
pytorch10
machine-translation10
meta-learning10
doi10
apc10
speech-synthesis10
multimodal10
large-language-models10
nmt10
learn2learn10
audio10
tera10
deep-learning10
Programming languages (4)
Github contributions (5)
SungFeng-Huang/NeMo
Nov 2023 - Mar 2025
NeMo: a toolkit for conversational AI
Contributions:3 PRs, 192 pushes, 7 branches in 1 year 4 months
SungFeng-Huang/SSL-pretraining-separation
Dec 2020 - Oct 2021
Contributions:41 commits, 22 pushes, 1 branch in 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.