Fangwei Li
Founder CTO at Bear Robotics, Inc.
Redwood City, California, United States
Summary
🤩
Rockstar🎓
Top SchoolFangwei Li is a founder and CTO with a decade of experience building production-grade AI and cloud systems from both startup and big-tech perspectives. Based in Redwood City, he helped found Bear Robotics after leading early ML infrastructure work at Google, where he was a founding member of the TFX Serving project and contributed to TensorFlow Serving—demonstrating expertise in serving models at scale on Kubernetes. His background spans low-level engine work at Microsoft (Chakra) to large-scale data processing and Cloud ML at Google, giving him rare breadth across systems, ML ops, and product engineering. As a PhD candidate in computer science, he blends rigorous research instincts with hands-on delivery and an appetite for reproducible ML deployments. Colleagues know him for turning complex inference pipelines into reliable, documented production services and for contributing end-to-end examples that help teams adopt model serving best practices.
10 years of coding experience
7 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 (12)
kubernetes10
machine-learning10
tensorflow10
serve10
kubernetes-pods10
cpp9
deep-learning8
ml8
python8
deep-neural-networks7
devops7
neural-network7
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
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.