Jinhan Wang
Senior Deep Learning Engineer, Speech AI at NVIDIA
California, United States
Summary
🤩
Rockstar🎓
Top SchoolJinhan Wang is a Senior Deep Learning Engineer specializing in speech AI, combining eight years of industry and research experience with a PhD focus in electrical engineering from UCLA. He builds production-ready speech models and has applied them to sensitive problems like depression detection from voice, exploring speaker correlation and unsupervised pre-training to improve robustness. His background includes multiple applied scientist internships at Amazon and a rapid transition from intern to senior engineer at NVIDIA, reflecting both research depth and product-minded execution. Early experience in algorithmic advertising systems and top academic grades across degrees underline strong quantitative and engineering fundamentals. Based in California, he blends rigorous academic training with hands-on deployment experience in speech-centric ML systems.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electrical Engineering, 3.959/4.00, Bachelor's degree, Electrical Engineering, 3.959/4.00 at University of Minnesota, Twins CityAutomation, 91.2/100, Automation, 91.2/100 at Beijing Jiaotong UniversityDoctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at University of California, Los Angeles
Chinese, English
Github Skills (12)
camera-api10
cuda10
pytorch10
artificial-intelligence10
deep-learning9
marching-cubes4
python3
e573
feature-extraction3
point-cloud2
object-detection2
computer-vision2
Programming languages (4)
Github contributions (5)
JerryJiehanWang/kaolin
Jan 2021 - May 2022
A PyTorch Library for Accelerating 3D Deep Learning Research
Contributions:66 pushes, 19 branches in 1 year 4 months
deep-learningpytorch3d-deep-learningpytorch-library
JerryJiehanWang/Summer-2018-research
Jun 2018 - Jun 2018
Contributions:1 push, 1 branch in 1 day
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