Zac Li
Software Engineer at anywhere
Western Australia
Summary
🤩
RockstarZac Li is a software engineer based in Western Australia with nine years of practical experience building reliable backend systems. He currently works at Anywhere and contributes to cloud-native AI serving infrastructure as a backend engineer on notable open-source projects like jina-ai/serve. His contributions emphasize robustness—improving logging, error handling, and integrations such as SageMaker batch transform—to make distributed HTTP and gRPC clients easier to debug and operate. Comfortable bridging cloud services and model-serving workflows, he focuses on production-ready improvements rather than flashy features. Colleagues would describe him as detail-oriented and pragmatic, often finding subtle observability gaps that prevent dry-run and deployment surprises.
9 years of coding experience
Github Skills (12)
python10
sagemaker10
grpc9
http9
fastapi8
docker8
dockers8
containerization8
mlops7
cloud-native7
machine-learning7
generative-ai6
Programming languages (4)
Github contributions (5)
jina-ai/serve
Jun 2022 - Nov 2022
☁️ Build multimodal AI applications with cloud-native stack
Role in this project:
Backend Engineer
Backend EngineerContributions:54 reviews, 13 commits, 27 PRs in 5 months
Contributions summary:Zac primarily contributed to backend improvements, focusing on logging and error handling within HTTP and gRPC client implementations. They fixed issues related to dry runs by adding more detailed logging for debugging purposes. Additionally, the user worked on updates for Sagemaker batch transform integration, indicating involvement in connecting the project to a cloud service for model serving or processing. The contributions suggest a focus on improving the robustness and integration capabilities of the Jina AI serve infrastructure.
opentelemetryllm-inferencecreative-aigrpcproduction
jina-ai/jina-sagemaker
Oct 2023 - Apr 2025
Jina Embedding Models on AWS SageMaker
Contributions:3 reviews, 70 PRs, 93 pushes in 1 year 5 months
awsembeddingssagemaker
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