Chaoyu Yang
Director Of GTM And Growth at Modular
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolChaoyu Yang is a seasoned founder and engineering leader with 14 years of experience building ML/AI platforms, currently leading GTM at Modular while still guiding BentoML as Founder & CEO. He combines product design training (MS in HCI from UW) with deep systems and DevOps chops from roles at Databricks and hands-on contributions to BentoML, a widely used open-source framework for serving AI models. Known for shipping production-ready model deployment pipelines, he’s fixed low-level Docker and model-archive build issues that directly improve reproducible inference and multi-platform containerization. His background spans viral consumer NLP experiments to enterprise analytics and developer tooling, reflecting a rare blend of user-centered design and infrastructure-first engineering. Based in San Francisco, he focuses on making AI deployments “just work” at scale while recruiting talent to accelerate the next wave of AI developer experiences.
14 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Sun Yat-sen UniversityMaster’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 (9)
mle10
machine-learning10
docker10
devops10
python10
dockers10
ml10
dockerfile10
cicd9
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.
aiinferencejob-queuellmmodel-serving
parano/GeneticAlgorithm-TSP
May 2012 - Feb 2016
Applying Genetic Algorithm to Travelling Salesman Problem
Contributions:30 commits, 1 PR, 5 pushes in 3 years 10 months
genetic-algorithmtravelling-salesman-problem
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