Stanley Wang

Architected and built a cloud-native, AI-powered real-time patient monitoring platform handling 100K+ concurrent telemetry streams with sub-500ms analysis, enabling a 20% reduction in hospital readmissions and 79% uptime via Kubernetes-based HA.

Designed and implemented a cloud-native B2B profile ingestion and identity-resolution system at scale, improving processing latency by 25% and enabling LLM-enhanced executive summaries and contextual search over terabytes of profile data.

Led backend and full-stack modernization of Marketo’s real-time marketing automation platform, migrating legacy systems to Node.js and reactive architectures to achieve 10x throughput and 50% resource reduction.

Contributed to SEO analytics platform enhancements, building backend services and dynamic React TypeScript dashboards to visualize SEO metrics and support scalable content indexing.

Implemented backend features and interactive UI components for a K–12 personalized learning platform, improving content delivery and student progress tracking using Node.js and React.

Completed a Master of Science in Computer Science focused on advanced software engineering and system design from September 2011 to March 2013.

Earned a Bachelor of Science in Computer Science from June 2007 to September 2011 with foundational training in programming and systems.