Haotian Wu
RTL Design Engineer at MediaTek
Davis, California, United States
Summary
👤
Senior🎓
Top SchoolHaotian Wu is an RTL Design Engineer with eight years of engineering experience and a Master’s in Electrical and Computer Engineering from UC Davis, where he graduated with a 4.0 GPA. He combines hands-on RTL design work at MediaTek with research experience implementing ResNet34 on the Kilocore II platform, bridging VLSI computation and applied machine learning. A motivated self-starter, he has moved from teaching digital systems to developing golden-reference models and deploying hardware-accelerated neural networks. His background in applied mathematics and electronics gives him a strong analytical edge for optimizing hardware-software co-design and squeezing performance out of constrained architectures.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, 4.0/4.0, Master of Science - MS, Electrical and Computer Engineering, 4.0/4.0 at University of California, DavisBachelor of Science - BS, Electronics Information Science & Technology, Bachelor of Science - BS, Electronics Information Science & Technology at Harbin Institute of Technology
Chinese, English
Github Skills (30)
spectral-clustering10
signal-processing9
matlab9
sparse-matrix9
factorization9
julia9
signal8
graph8
visualization8
wavelet7
packet7
petsc7
visualizations6
programming-language6
data-analysis5
Programming languages (1)
Github contributions (5)
UCD4IDS/MultiscaleGraphSignalTransforms.jl
Sep 2020 - Jul 2022
MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processing including HGLET, GHWT, eGHWT, NGWP, Lapped NGWP, and Lapped HGLET. Some of them were originally written in MATLAB by Jeff Irion, but we added more functionalities, e.g., eGHWT, NGWP, etc.
Contributions:1 review, 166 commits, 13 PRs in 1 year 10 months
signalghwtngwpsoftware-toolslapped-orthogonal-transform
UCD4IDS/NGWP.jl
Sep 2020 - Apr 2021
This is the Julia package of Natural Graph Wavelet Packet Dictionaries.
Contributions:1 release, 11 reviews, 200 commits in 7 months
julia-packagewaveletpacketgraphnatural
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