Fangwei Li
Founder CTO at Bear Robotics, Inc.
Redwood City, California, United States
Summary
🤩
Rockstar🎓
Top SchoolFangwei Li is the Founder and CTO of Bear Robotics in Redwood City with 9 years of experience building production ML and cloud-native systems. A founding member of TFX Serving and contributor to tensorflow/serving, he has hands-on expertise deploying models like InceptionV3 to Kubernetes and has improved model server core and configuration for real-world MLOps. He previously co-founded Google’s Area 120 and worked on Machine Intelligence teams (Sibyl, TensorFlow, Cloud ML), after earlier engineering work on Microsoft’s Chakra JavaScript engine and Windows XAML. As a PhD candidate in Computer Science at The University of Hong Kong, he blends research rigor with entrepreneurial engineering to move ML from prototype to reliable production.
10 years of coding experience
8 years of employment as a software developer
The University of Hong Kong (HKU)BEng, Computer Science, BEng, Computer Science at Xiamen University
Chinese, English
Github Skills (16)
kubernetes-pod10
tensorflow210
kubernetes10
machine-learning10
tensorflow10
serve10
cpp9
deep-learning8
ml8
python8
neural-networks7
deep-neural-networks7
devops7
dev-ops7
neuralnetwork7
Programming languages (3)
Github contributions (5)
tensorflow/serving
Mar 2016 - Sep 2016
A flexible, high-performance serving system for machine learning models
Role in this project:
MLOps Engineer
MLOps EngineerContributions:17 commits, 5 PRs, 4 pushes in 6 months
Contributions summary:Fangwei contributed significantly to setting up and maintaining the TensorFlow Serving system. This involved adding end-to-end examples and tutorials demonstrating how to serve models (InceptionV3) in Kubernetes, along with fixing incorrect assertions within the inception inference example. The user also made internal changes related to server core, model server configuration, and the addition of a standard ModelServer. These contributions indicate an expertise in deploying and managing machine learning models within a production environment.
cpppythonservingdeep-learningml
bearrobotics/arcanist
Sep 2017 - Apr 2018
Contributions:2 pushes in 6 months
command-linecommand-line-interfacephabricatorcli
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