Dan Sun
Software Engineering Team Lead at Bloomberg LP
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolDan Sun is a software engineering leader with 11 years of experience driving cloud-native AI inference and traffic systems at Bloomberg in New York. As Team Lead, he architects and ships production-grade model serving and routing infrastructure, blending deep ML inference knowledge with Kubernetes and DevOps practices. He co-founded and contributed to KServe and helped implement Knative-based, serverless ML inference patterns—work that reflects a penchant for standardizing complex deployments. Known for turning CRD and platform intricacies into reliable operational tooling, he pairs hands-on engineering with team leadership and an MS from Washington University in St. Louis.
11 years of coding experience
MS, MS at Washington University in St. Louis
Github Skills (10)
crt10
kubernetes10
machine-learning10
mlops10
knative10
kubernetes-pods10
python9
tensorflow9
cicd8
api-design7
Programming languages (12)
Github contributions (5)
kserve/kserve
Apr 2019 - Jan 2023
Standardized Serverless ML Inference Platform on Kubernetes
Role in this project:
ML Engineer & DevOps Engineer
ML Engineer & DevOps EngineerContributions:37 releases, 1834 reviews, 304 commits in 3 years 10 months
Contributions summary:Dan primarily focused on refactoring and updating import paths within the codebase. They were involved in the process of regenerating CRDs, which suggests an understanding of Kubernetes Custom Resource Definitions. The contributions also include the incorporation of Knative and the development of an initial implementation for the KServe specification, indicating a role in the development and deployment of a serverless machine learning platform on Kubernetes.
xgboostsklearnserverlessclient-goknative
yuzisun/kserve
Sep 2021 - Apr 2025
Serverless Inferencing on Kubernetes
Contributions:5 releases, 10 reviews, 12 PRs in 3 years 6 months
serverlessmachine-learningmlopskubernetestensorflow
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