Summary
Yumi Zhang is a software engineer with eight years of experience building scalable, data-driven systems across cloud and AI infrastructure, currently contributing to AI infrastructure at Meta. She has delivered large-scale migrations and region expansions at AWS, built high-throughput Hadoop and Kubernetes data platforms at Bell, and applies machine learning and distributed-systems expertise to production problems. Comfortable in Java, Python and C++, she combines deep academic training in software engineering and ML from Waterloo with practical experience in AWS services, Spark, TensorFlow/Keras and big-data tooling. Known for rapid problem-solving and mentoring peers, she’s equally at home designing rollback-safe migration tools and implementing anomaly detection on geospatial datasets. A detail that sets her apart: she’s repeatedly bridged research-quality ML work and production engineering, turning prototype models into customer-facing features.
8 years of coding experience
3 years of employment as a software developer
Exchange Student, Image Processing, Exchange Student, Image Processing at Technion - Israel Institute of Technology
Bachelor of Engineering - BE, Telecommunications Engineering, 3.77 / 4.0, Bachelor of Engineering - BE, Telecommunications Engineering, 3.77 / 4.0 at Shantou University
Exchange Student, Electrical and Computer Engineering, 3.9 / 4.0, Exchange Student, Electrical and Computer Engineering, 3.9 / 4.0 at University of Calgary
Master of Engineering - MEng, Software Engineering, Machine Learning, Deep Learning, Data Science, 3.93 / 4.0, Master of Engineering - MEng, Software Engineering, Machine Learning, Deep Learning, Data Science, 3.93 / 4.0 at University of Waterloo
English, mandar, Chinese