Chaoyu Yang
Founder CEO at BentoML
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolChaoyu Yang is a founder and CEO with 13 years of experience building ML/AI platforms, best known for creating BentoML, an open-source unified inference platform that simplifies serving models and LLM apps in production. He combines product-design training (M.S. in Human‑Computer Interaction + Design) with deep systems experience from Databricks to bridge developer experience and production reliability. Chaoyu stays hands-on in the codebase—recent contributions show he actively fixes Docker build and model-archive issues, adds multi-platform container support, and refines model deployment tooling. Based in San Francisco, he has a track record of founding startups (Atalaya) and shipping developer-first infrastructure that lets teams run any model on any cloud. This mix of UX sensibility and low-level deployment work gives BentoML a pragmatic, developer-centered approach to inference.
14 years of coding experience
5 years of employment as a software developer
Master’s Degree Human Computer Interaction, Master’s Degree Human Computer Interaction at University of Washington, Master of Human-Computer Interaction + Design
English, Chinese, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
mle10
dockerce10
docker10
devops10
python10
dockers10
ml10
dockerfile10
ci-cd9
machine-learning9
Programming languages (13)
Github contributions (5)
bentoml/BentoML
Apr 2019 - Sep 2022
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Role in this project:
ML Engineer & DevOps Engineer
ML Engineer & DevOps EngineerContributions:64 releases, 1558 reviews, 565 commits in 3 years 6 months
Contributions summary:Chaoyu's commits primarily focused on fixing build issues related to Docker and model archives within the BentoML framework, including correcting the Docker build process and resolving issues with generating model archives. The contributions involve updating example files and correcting the build process for the API server's Docker image, reflecting involvement in the model deployment pipeline. Further improvements to include a Python-based script to download the requirements, and support for multiple platforms in the containerization process.
llm-inferencepythonmodel-deploymentaws-lambdaml-infrastructure
CSE512-14W/a3-chaoyu-aniket
Feb 2014 - Oct 2020
Global Terrorism Visualization
Contributions:71 commits, 1 PR, 1 push in 6 years 9 months
terrorismvisualization
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