Weiqi Feng
Research Scientist at ByteDance
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolWeiqi Feng is a research scientist and software engineer with eight years of experience building high-performance network and systems infrastructure, currently focused on multimodal LLM pre-training infrastructure at ByteDance Seed. He blends academic rigor from a Harvard MS and first-author publications at ACM CoNEXT and USENIX ATC with hands-on production experience—shipping large-scale training optimizations across thousands of GPUs. His background spans FPGA-accelerated network telemetry, collaborated with Meta, to control-plane engineering at Databricks, giving him a rare cross-domain fluency in networking, systems, and ML infrastructure. Colleagues describe him as someone who moves seamlessly between research prototypes and production-grade systems, and he often surfaces hardware-aware optimizations that aren’t obvious from algorithmic work alone. Based in San Jose, he combines deep systems insight with practical engineering to reduce cost and latency in cutting-edge ML pipelines.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Harvard UniversityBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Shanghai Jiao Tong University
Github Skills (30)
transformers10
large-language-models10
transformer-models10
nic10
pytorch9
machine-learning9
scale9
deep-learning9
nlp9
language-model8
transformer8
fpga8
bert8
networking7
linux7
Programming languages (6)
Github contributions (5)
harvard-cns/Harvard-CNS-Seminar
May 2022 - Aug 2022
Contributions:30 commits, 28 pushes, 1 branch in 3 months
Vic0428/Vic-Jos
Oct 2019 - Jan 2020
Contributions:48 commits, 40 pushes, 6 branches in 3 months
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