Da Kuang
Principal Engineer at Huawei
Shenzhen, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolDa Kuang is a Principal Engineer with a Ph.D. in Computational Science and Engineering and nine years of industry experience building high-performance numerical computing and machine learning systems. He has applied deep expertise in matrix factorization and HPC across roles at Amazon (Search Experience), UCLA (postdoc), and now Huawei, blending research rigor with production-grade engineering. Comfortable moving between research and product, he has a track record of turning algorithmic advances into scalable search and recommendation features. Based in Shenzhen and with past roles at Meta (research scientist) and major internships at eBay and Microsoft Research Asia, he brings a global perspective on large-scale ML systems. Notably, his background suggests fluency in both low-level performance optimization and higher-level applied ML, making him effective at squeezing latency and cost out of real-world deployments.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational Science and Engineering, Doctor of Philosophy (Ph.D.) Computational Science and Engineering at Georgia Institute of TechnologyBachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at Tsinghua University
Stackoverflow
862reputation
66kreached
9answers
4questions
Github Skills (129)
bioconductor10
ncbi10
organize10
tree-structure10
treeview10
chatgpt9
single-cell-analysis9
rna-seq9
taxonomy9
spatial-transcriptomics9
seq9
linux-mint9
proj9
visualization9
large-language-models9
Programming languages (15)
Github contributions (5)
CIS548/docker-env
May 2021 - May 2022
A dockerized development environment for MCIT-595
Contributions:3 releases, 1 review, 38 commits in 1 year
dockerizeddevelopment-environmentdockerenvironment
mukund-v/learning-the-game-of-life
Dec 2019 - Dec 2019
Contributions:9 commits in 12 days
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