Yuxuan Ren

Master's

Computer Science

Caerulean.AI

SDE intern

• Contributed to backend development for a scalable machine learning pipeline solution compared to Kubeflow, focusing on simplifying the deployment of machine learning models by 25% based on Domain-Driven-Design principles • Implemented REST APIs with Node.js and TypeScript for data processing, leveraging Lambda to manage S3 buckets, and utilizing Prisma for streamlined interaction with PostgreSQL • Developed automated Unit Tests with Chai to reduce API bugs by 20% with 90% code coverage • Utilized Docker for containerization, along with ECS, EKS, and ArgoCD for scalable support and CI/CD, ensuring efficient deployment and updates of the system