Zhenan Fan
Staff Research Engineer at Huawei Canada
Richmond, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolZhenan Fan is a Staff Research Engineer at Huawei Vancouver Research Center with 8 years of experience building production-grade, cloud-native LLM inference and distributed serving systems. He leads cross-functional teams delivering SLO-aware scheduling, elastic MoE, multi-LoRA and multimodal serving pipelines optimized for Ascend NPUs and Huawei Cloud ModelArts. His background bridges rigorous optimization research—PhD from UBC on duality and federated learning—with hands-on system engineering, contributing to Huawei’s Pangu and the OptVerse solver. Published at top AI and data conferences, he combines applied research with operational impact, often turning algorithmic insights into scalable, fault-tolerant inference features. An interesting thread in his work is the focus on disaggregation patterns (Encode–Prefill–Decode, MoE–Attention) that enable fine-grained autoscaling and resilience in multi-tenant LLM deployments.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of British ColumbiaHonours Bachelor of Science, Specialist in Mathematics; Major in Statistics and Computer Science, CGPA 3.95, Honours Bachelor of Science, Specialist in Mathematics; Major in Statistics and Computer Science, CGPA 3.95 at University of Toronto
Chinese, Chinese
Github Skills (3)
jekyll-theme3
jekyll2
github-pages1
Github contributions (5)
ZhenanFanUBC/FedDCD.jl
Dec 2021 - Jan 2022
Contributions:17 commits, 2 pushes in 1 month
ZhenanFanUBC/ZhenanFanUBC.github.io
Oct 2021 - Aug 2023
A beautiful Jekyll theme for academics
Contributions:17 pushes in 1 year 10 months
academicsbeautiful-jekylljekylljekyll-themebeautiful-jekyll-theme
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