Machine Learning Engineer, AB - Prime, SSR, Emerging at Amazon
California, United States
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Summary
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Rockstar
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Top School
Vincent N is a machine learning engineer with 13 years of experience building production-grade systems across startups and hyperscale companies, currently applying ML to marketing science at Amazon. He combines full-stack development (Next.js, Flutter, Go) with large-scale data engineering (Hadoop, Spark, Beam, Elasticsearch) and cloud-native deployment expertise on GCP/AWS using Kubernetes, Helm, and Terraform. Past roles at AWS EKS and Blizzard honed his skills in distributed systems and operating big data platforms that process billions of events daily. An active contributor to EKS Anywhere, he has hands-on experience automating Helm-based CI/CD, curated package deployment, and registry mirror support—bridging open-source infrastructure work with enterprise delivery. Trained in computer science up to PhD-level research, he brings a systems-first mindset that reliably turns prototypes into scalable production pipelines.
13 years of coding experience
11 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Shanghai Jiao Tong University
Contributions:114 reviews, 20 commits, 39 PRs in 8 months
Contributions summary:Vincent primarily contributed to the automation and configuration of the EKS Anywhere project, especially around curated packages. Their work involved setting up and testing the Harbor package, and implementing CI/CD processes, specifically focused on Helm chart installations and Kubernetes deployments. The user also updated the package bundle controller and associated versions, and worked on adding registry mirror support. This included modifying tests and configurations, ensuring the successful deployment and operation of curated packages within the EKS Anywhere environment.
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