YUEWEI (JUDY) ZHU
Hi, I’m Yuewei, a software developer studying Computational Mathematics at the University of Waterloo, graduating in May 2026.
About
Hi, I’m Yuewei, a software developer studying Computational Mathematics at the University of Waterloo, graduating in May 2026. Over the past few years I’ve spent about 20 months in full-time internships, building real products as a full-stack/software engineer instead of just classroom projects. I’ve worked across backend APIs, databases, and modern frontends, and I’m comfortable owning a feature from idea to production and debugging it when things break. I stand out from many new grads because I already know how to work in real codebases, ship on deadlines, and communicate clearly with teammates and clients.
- Joined November 2025
Industry experience
- Computers & Electronics
- Software & Internet
Work experience
Architected a maintenance-mode UI using Vue.js with Spring Boot RESTful APIs and an SQL backend; implemented bulk update capabilities to improve admin efficiency. Delivered site-wide maintenance banners and UTC-window awareness with IAPro sync and Spring Cache for consistent multi-timezone user notifications.
Built a 24/7 self-service Google Cloud IAM access portal using Node.js and Express; automated approvals. Implemented SQLite-backed access logs and composite indexing for deduplication and 24-hour retention. Created IaC with Terraform to provision VMs and firewall rules, and integrated Checkov into CI/CD to detect security misconfigurations. Led a workflow upgrade initiative from Solace to Kafka via an LLM-driven approach.
Designed thread-safe automated Windows Service (C#, .NET) for start/stop of internal jobs with configurable keywords; implemented multi-threaded monitoring across process clusters, reducing response times. Established alerting and monitoring for varying exceptions to improve resilience and reduce manual error tracking. Implemented Oracle SQL pipelines with window functions and joins to standardize formats and deduplicate records across sources. Developed ML models (MLP, k-NN) using AWS SageMaker to validate retention assumptions.
Education
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