Winnie Kwon
Engineering Manager - Generative AI Platform And Services
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolWinnie Kwon is an engineering manager based in San Francisco with 8 years of experience building cloud-native infrastructure and Generative AI platforms. She leads delivery of Private AI services at Broadcom for VMware Cloud Foundation, enabling LLM hosting, runtime inferencing, vector search, and agent-building across enterprise environments. A former senior manager and tech lead at VMware and Pivotal, she combines hands-on Kubernetes and Go engineering with product and open-source strategy—she’s an active contributor to Cluster API and has shaped Managed Kubernetes APIs used across cloud providers. Certified as an AWS Generative AI Developer, AWS Solutions Architect, and CKA, she excels at scaling distributed systems and cross-functional teams. Her background in IC product management and chip design gives her uncommon depth in turning complex hardware and software constraints into reliable, production-grade platforms.
8 years of coding experience
7 years of employment as a software developer
M.S., Electrical and Computer Engineering, M.S., Electrical and Computer Engineering at Georgia Institute of Technology
Github Skills (10)
kubernetes10
cluster-api10
load-balancing10
go10
cloud-infrastructure10
aws10
kubernetes-pods10
testing9
controller9
cicd8
Programming languages (6)
Github contributions (5)
kubernetes-sigs/cluster-api-provider-aws
Oct 2021 - Aug 2022
Kubernetes Cluster API Provider AWS provides consistent deployment and day 2 operations of "self-managed" and EKS Kubernetes clusters on AWS.
Role in this project:
Cloud Engineer / Infrastructure Engineer
Cloud Engineer / Infrastructure EngineerContributions:84 reviews, 39 commits, 51 PRs in 9 months
Contributions summary:Winnie contributed significantly to the AWS cloud infrastructure for the Kubernetes Cluster API Provider. Their work included modifying the control plane ELB configuration to use different subnets, implementing tests related to load balancer operations, and refactoring code for the AWSCluster and AWSMachine controllers. They also addressed issues in EKS conversion tests and performed refactoring to enable individual test runs, making the infrastructure more reliable and efficient. The contributions focused on improving the functionality and testability of the AWS cloud provider.
clustersprovider-apidayk8s-sig-cluster-lifecycleself-managed
pydctw/cluster-api-provider-aws
Aug 2021 - Jan 2023
Kubernetes Cluster API Provider AWS provides consistent deployment and day 2 operations of "self-managed" and EKS Kubernetes clusters on AWS.
Contributions:207 pushes, 75 branches in 1 year 5 months
clustersprovider-apidayself-managedaws
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