Summary
Amanda Yu is a software engineer with nine years of experience building scalable, production-grade systems that bridge machine learning research and full‑stack product delivery. She has shipped ML-focused infrastructure and forecasting simulators at AWS and Kinaxis, built NLP and messaging features at Shopify, and now works on DoorDash’s Search Platform leveraging Docker, Kubernetes, Kafka, and Flink. Her academic work at the University of Waterloo includes published research on reducing racial bias in facial recognition and keynote presentations on ethics in AI, reflecting a rare combination of applied engineering and ethical ML expertise. Comfortable moving between backend systems, cloud infrastructure, and product management, she has a track record of turning research insights into robust, user-facing features. Notably, she pairs systems design training from Waterloo with hands-on experience at major tech firms, making her adept at scaling models and services from prototype to production.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Applied Science - BASc, Bachelor of Applied Science - BASc at Malmö University
Victoria Park Collegiate Institute
Bachelor of Applied Science - BASc Honours Systems Design Engineering (Co-op), Bachelor of Applied Science - BASc Honours Systems Design Engineering (Co-op) at University of Waterloo