Fushan Li
Machine Learning Engineer at DoorDash
Ottawa, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolFushan Li is a Machine Learning Engineer based in Ottawa with 10 years of software and research experience and 5+ years applying ML in production at DoorDash, Twitter, and Amazon. He designs consumer-facing search and anti-spam systems and has built regression and embedding-driven pricing models used for vendor negotiations and outlier detection. His background blends industry impact with strong research credentials—a first-author NeurIPS 2019 paper on emergent communication and a high-performing (4.0/4.0) Master’s in Deep Learning and Reinforcement Learning from the University of Alberta. Comfortable moving models from research to scale, he also has hands-on experience in NLP model memory augmentation from an IBM internship that yielded measurable F1 gains. Colleagues can expect a pragmatic engineer who pairs production rigor with a curiosity for emergent behaviors in multi-agent systems.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science (specialized in Deep Learning, Reinforcement Learning), 4.0/4.0, Master's degree, Computer Science (specialized in Deep Learning, Reinforcement Learning), 4.0/4.0 at University of AlbertaBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Southeast University
English, Chinese
Github Skills (12)
natural-language-processing5
python5
nlp5
deep-learning4
pytorch4
data-science4
machine-learning3
transformers3
bert3
tensorflow2
reinforcement-learning2
deep-reinforcement-learning2
Programming languages (2)
Github contributions (5)
FushanLi/FushanLi.github.io
Jan 2019 - Apr 2022
Fushan Li's Webpage
Contributions:1 PR, 66 pushes, 1 branch in 3 years 3 months
webpage
FushanLi/Ease-of-teaching-and-language-structure
Oct 2019 - Oct 2021
Contributions:13 commits, 11 pushes, 1 branch in 2 years
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