Xin Chen
VP, Workforce Intelligence at Northwestern University
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolXin Chen is a seasoned AI and engineering leader with over a decade of experience building production-grade machine learning and computer vision systems for enterprise and automotive customers. Currently VP, Workforce Intelligence at Salesforce after leading People Science Solutions Lab at Amazon PXT, he blends economics, behavioral science and ML to improve organizational outcomes and employee well-being. Previously he scaled global ML Solutions Lab teams across three continents at AWS and led pioneering HD map automation at HERE Technologies that produced half a million kilometers of highway maps used in BMW and Daimler vehicles. An inventor with 70+ U.S. patents, frequent conference chair and speaker, and an NSF panelist, he also co-advises PhD students and teaches AI courses at Northwestern and IIT. Beyond research and leadership, he contributes hands-on cloud/DevOps work (e.g., custom AMI support for AWS EKS Blueprints) showing he bridges deep technical craft with strategic product delivery.
10 years of coding experience
13 years of employment as a software developer
B.S., MIS, Computer, B.S., MIS, Computer at University of Science and Technology of ChinaTianjin No.3 Middle SchoolPhD, Computer Science and Engineering, PhD, Computer Science and Engineering at University of Notre Dame
Chinese, English
Github Skills (18)
amazon-eks10
kubernetes10
iks10
aws10
aac10
kubernetes-pods10
infrastructure-as-code10
k8s10
k10
terraform9
terraformer9
typescripts8
aws-cloudformation8
typescript-types8
typescript8
Programming languages (16)
Github contributions (5)
awslabs/cdk-eks-blueprints
Sep 2021 - Jan 2023
AWS Quick Start Team
Role in this project:
Cloud Engineer & DevOps Engineer
Cloud Engineer & DevOps EngineerContributions:26 reviews, 29 commits, 6 PRs in 1 year 4 months
Contributions summary:Xin primarily contributed to the configuration and deployment of a custom AMI for managed node groups within the EKS cluster. They implemented changes to the `mng-cluster-provider.ts` file to support custom AMI configurations, including launch templates and user data. Furthermore, they incorporated updates reflecting PR reviews, refining the custom AMI integration, and merged branches to incorporate the new feature. Finally, they tested the solution and added a new blueprint to support custom AMI.
aws
starchx/ssp-amazon-eks
Sep 2021 - Jun 2022
AWS Quick Start Team
Contributions:31 pushes, 6 branches in 9 months
amazon-web-servicesaws-lambdaquick-startaws
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