Summary
Maggie Zhao is a full-stack software engineer with eight years of experience building cloud-native web and backend systems, currently working on AI glasses at Meta. She holds an M.S. from Columbia University and has applied her expertise across startups and large tech firms, including eBay and Schlumberger, shipping services built in Java/Spring Boot, Golang, Angular, and Kubernetes. Her background spans both research and teaching—she has been a TA for an IoT course and contributed to a game-based learning research project—bringing a strong systems and pedagogy-driven approach to product engineering. Maggie has deep experience with GCP, CI/CD pipelines, and containerized deployments, and she’s comfortable moving between front-end interfaces and scalable backend services. Based in Bellevue, WA, she combines academic rigor with practical production experience and a current focus on embedded AI-enabled devices. A detail not immediately obvious from titles: she blends hands-on DevOps and cloud architecture skills with classroom-facing mentorship, which helps bridge developer experience and product adoption.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree Telecommunications Engineering, Bachelor's degree Telecommunications Engineering at University of Liverpool
Master's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at Columbia University