Chiyu Zhong
Principal Software Engineer at AdRise
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolChiyu Zhong is a Principal Software Engineer with 13 years of experience building production-grade ML infrastructure and high-throughput data pipelines, now based in Bellevue, WA. He specializes in model inference, feature stores, online model orchestration, and real-time analytics—engineering systems that serve models and features at millisecond latency and process 100k events/sec. At Tubi and now AdRise he led architecture and implementations that decouple teams, accelerate model iteration, and enable robust experimentation for personalization. He also contributes to MLOps open source work (notably improvements to Seldon Core’s build, deployment, and gRPC tooling), demonstrating hands-on expertise in containerization and dependency management. Colleagues rely on him to turn complex ML requirements into scalable, observable, and repeatable production systems.
12 years of coding experience
11 years of employment as a software developer
Bachelors Computer Software Engineering, Bachelors Computer Software Engineering at Wuhan University
Chinese, English
Stackoverflow
412reputation
15kreached
3answers
0questions
Github Skills (14)
kubernetes10
conda10
docker10
deploying10
python10
dockers10
grpc10
kubernetes-pods10
machine-learning9
serve8
git6
git-hooks6
ruby6
sequelizejs6
Programming languages (25)
Github contributions (5)
SeldonIO/seldon-core
Jun 2020 - Nov 2020
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Role in this project:
MLOps Engineer
MLOps EngineerContributions:13 commits, 4 PRs, 12 comments in 5 months
Contributions summary:Chiyu primarily worked on improving the build and deployment process for the Seldon Core framework. Their contributions involved fixing build issues related to dependencies, specifically with conda and python. They also integrated gRPC reflection to enable enhanced debugging and monitoring capabilities. The user demonstrated expertise in containerization with Dockerfiles and managing dependencies for machine learning model deployment.
monitorservingdata-sciencedeploymentmachine-learning
CatTail/hole
Oct 2013 - Oct 2016
Contributions:49 commits, 21 pushes, 3 branches in 3 years
dealdialectlanguage-javascriptjavascriptproblem
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