Zewen Shen
Member Of Technical Staff at Cohere
Canada
Summary
👤
Senior🎓
Top SchoolZewen Shen is a software engineer with 9 years of experience specializing in making computations faster across domains—from quantitative finance to physics and now large language models. Currently a Member of Technical Staff at Cohere, he focuses on LLM inference acceleration and brings hands-on production experience from a prior LLM-focused internship at ByteDance. His PhD work at the University of Toronto bridged research-grade systems and applied performance engineering, building on a strong mathematical and CS foundation (BSc, 3.96/4.00). Earlier roles include quant work at Scotiabank, giving him practical exposure to low-latency, numerically intensive systems. Colleagues describe him as someone who translates deep theoretical insight into pragmatic optimizations that measurably reduce runtime and resource cost. Based in Canada, he combines academic rigor with production-driven impact in ML infrastructure.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Toronto
Github Skills (30)
lora9
fine-tuning8
llm8
webscraping7
llama7
mistral7
gemma7
libigl6
react6
machine-learning6
javascript6
simulation4
chroot4
jail4
smoothing4
Programming languages (5)
Github contributions (5)
ZewenShen/hdp
Aug 2019 - May 2020
Contributions:191 commits, 131 pushes in 9 months
ZewenShen/uoft-profs
May 2018 - Jan 2021
Contributions:109 commits, 2 PRs, 93 pushes in 2 years 9 months
selectingjavascriptreactuoft
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.