Hua Huang
Engineer at 英伟达公司
California, United States
Summary
🤩
Rockstar🎓
Top SchoolHua Huang is an engineer and Ph.D. candidate in Computational Science and Engineering (Georgia Tech) with eight years of experience building high-performance and parallel computing solutions, now working on AI developer technologies at NVIDIA. His dissertation on new parallel algorithms for large-scale matrix computations and prior MS work on performance optimization for quantum chemistry reflect a rare blend of numerical linear algebra, computational chemistry, and performance engineering. He has industry research experience at Meta AI and Intel Labs, contributed to PyTorch extension development for hardware/software co-design, and received an ACM-IEEE HPC fellowship honorable mention in 2023. Based in California, he combines deep academic rigor with practical system-level implementation, and actively seeks cross-disciplinary collaborations—contactable via his academic and Outlook emails for research or engineering partnerships.
8 years of coding experience
3 years of employment as a software developer
信息与计算科学, 信息与计算科学 at 中山大学Doctor of Philosophy - PhD, Computational Science and Engineering, Doctor of Philosophy - PhD, Computational Science and Engineering at Georgia Institute of Technology
Chinese, English, Chinese
Github Skills (87)
python10
transformer-models10
deep-learning10
gpu10
floating10
floating-point10
intel10
hopper10
utilization10
nvidia10
cuda10
8-bit10
bit10
pytorch10
machine-learning10
Programming languages (8)
Github contributions (5)
huanghua1994/H2Pack-Matlab
Jan 2021 - Nov 2023
Matlab prototype code for H2Pack
Contributions:10 PRs, 14 pushes, 2 branches in 2 years 10 months
prototypematlab
huanghua1994/simint-generator
Feb 2018 - Jul 2022
Code generator for simint vectorized integrals
Contributions:4 PRs, 28 pushes, 1 branch in 4 years 5 months
vectorizedcode-generatorintegrals
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