Andy Wang

Architected and built a SaaS marketplace platform from scratch, delivering an MVP to validate product-market fit and now serving hundreds of active users. Integrated Authorize.Net payments, implemented a homeowner–designer matching algorithm, and set up GCP/Firebase DevOps with CI/CD and automated testing.

Built and launched AI products for clinicians, including an ASR automation system and clinical note generation application. Optimized LLM-based platforms for performance and reliability and engineered scalable inference pipelines and real-time systems on AWS for production workloads.

Led the launch of an Angular/Java application serving 100,000+ third-party professionals and contributing to $5M in product sales. Partnered with a 4-engineer team to shut down a legacy Ruby application, saving $400K+ annually, and improved Java-based notification microservices by eliminating 10M+ unnecessary notifications.

Developed and optimized the company’s highest-traffic front-end product to improve performance, scalability, and user experience. Built revenue-generating features with TypeScript, led a greenfield MVP to production using React/Next.js, and maintained legacy PHP applications to ensure stable operations and minimal downtime.

Built and scaled a real-time data pipeline on GCP processing 30,000+ transactions per second while maintaining high availability. Developed high-performance Java/Spring Boot APIs supporting 10,000+ requests per second, established CI/CD that reduced production bugs by 50%, and supported enterprise listing system feature releases.

Earned a Bachelor of Fine Arts (BFA) in Computer/Information Technology Administration and Management from Northern Arizona University from 2012 to 2014.