Huynh Dang
AI Research Engineer at ByteDance
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolHuynh Dang is an AI Research Engineer and seasoned distributed systems and ML infrastructure architect with 13 years of experience, currently contributing to ByteDance’s ML systems from San Jose. He has a strong research backbone—a PhD in Information Technology—and a track record of turning scholarly work into production innovations, including designing OmniXtend for coherent networking across compute, memory, and storage. At Western Digital he explored accelerating AI inference on programmable hardware, publishing papers and filing patents that bridge academic rigor with industrial impact. His background spans consensus, SDN, DPDK development, and hands-on systems security from early web-penetration work, giving him a rare mix of low-level systems engineering and applied ML infrastructure expertise. Comfortable in both research and product settings, he consistently moves ideas from prototype to deployable systems at scale. Colleagues describe him as the engineer who connects deep theory to practical, performance-driven solutions.
13 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Information Technology, Doctor of Philosophy (Ph.D.), Information Technology at USI Università della Svizzera italianaMaster's degree, Information Technology, Master's degree, Information Technology at Polytech Nice SophiaBachelor of Science (BSc), Information Technology, Bachelor of Science (BSc), Information Technology at International University - VNU HCMC
English, Vietnamese
Github Skills (29)
switch10
verilog9
bluespec9
p4lang9
zynq9
fpga8
hardware8
vlsi7
hdl7
eda6
bazel-rules3
bazel3
hugo3
interpreter2
programming-language2
Programming languages (9)
Github contributions (5)
tudang/tudang.github.io
Jan 2015 - May 2023
Contributions:64 pushes in 8 years 5 months
usi-systems/p4xos-public
Nov 2015 - Jan 2016
Contributions:29 commits, 1 PR, 144 pushes in 2 months
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