Summary
Elizabeth Louie is a software engineer based in San Francisco with eight years of hands-on experience spanning mobile, web, and ML-driven features. A Carnegie Mellon SCS computer science and machine learning student, she has shipped production systems at Meta and built consumer-facing features at Amazon, plus cross-platform IoT apps and privacy-focused research during her time at CMU. She blends practical engineering—Flutter apps with geofencing and backend ML pipelines—with research instincts, having contributed to CSCW-published work analyzing developer privacy practices. Known for improving model recall and introducing text embeddings in large-scale product flows, she thrives at the intersection of AI and user-facing product impact. Outside work she sketches, swims, and maintains a portfolio at elizabethlouie.com, reflecting a creative, user-centered approach to engineering.
8 years of coding experience
3 years of employment as a software developer
Thomas Jefferson High for Science And Technology
Computer Science, Machine Learning, Computer Science, Machine Learning at Carnegie Mellon University