Min Ni
Staff Machine Learning Engineer at Amazon Web Services (AWS)
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMin Ni is a Staff Machine Learning Engineer based in San Jose with a focus on large-scale ML and LLM inference, combining production-grade systems engineering with hands-on model deployment. With experience building managed inference infrastructure at AWS SageMaker and leading ML platform efforts at Walmart Global Tech, Min has shipped Kubernetes-deployed batch inference pipelines and an NVIDIA Triton–based foundation AI system powering real-time and asynchronous workloads like ads moderation and content generation. He also drives platform hygiene through centralized utility libraries and robust CI/CD, and contributed DevOps and end-to-end testing improvements to the widely used aws-iam-authenticator project. A mentor and technical leader, Min blends deep cloud-native expertise with a background in rigorous academic training, enabling practical, scalable ML solutions across teams.
3 years of coding experience
1 year of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyMaster of Engineering (MEng) Civil Engineering, Master of Engineering (MEng) Civil Engineering at Tianjin UniversityDoctor of Philosophy (PhD) Civil Engineering, Doctor of Philosophy (PhD) Civil Engineering at Rensselaer Polytechnic Institute
Chinese
Github Skills (10)
kubernetes10
automated-tests10
docker10
aws10
dockers10
cicd10
kubernetes-pods10
ias9
bash9
auth8
Programming languages (4)
Github contributions (5)
kubernetes-sigs/aws-iam-authenticator
Sep 2022 - Jan 2023
A tool to use AWS IAM credentials to authenticate to a Kubernetes cluster
Role in this project:
DevOps Engineer
DevOps EngineerContributions:2 releases, 62 reviews, 25 commits in 4 months
Contributions summary:Min focused on improving the development environment and end-to-end testing for the `aws-iam-authenticator` project. They addressed a permission issue in a development script, indicating a focus on build and deployment processes. Furthermore, the user added end-to-end tests using `kind`, including updates to the build configuration to support this testing methodology, demonstrating expertise in automated testing and integration within the Kubernetes ecosystem.
securityk8s-sig-awsiamkubernetesaws-iam
nnmin-aws/aws-iam-authenticator
Sep 2022 - Jan 2024
A tool to use AWS IAM credentials to authenticate to a Kubernetes cluster
Contributions:98 pushes, 90 branches, 1 tag in 1 year 3 months
securitykubernetesiamaws-iamaws
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