Yi-shiuan Tung is a Ph.D. candidate at the University of Colorado Boulder with 11 years of experience bridging academic research and production software engineering. She has built full-stack systems and data pipelines—implementing Flask APIs, microservices with Kafka and Airflow, and optimizing MySQL/Redshift workloads—after early research roles at MIT CSAIL and a security internship classifying malware. At IBM she focused on cognitive software engineering, and at EverString she helped design model-serving pipelines and deployment tooling using Docker and Jenkins. Her profile reflects a rare blend of rigorous academic methods and hands-on product engineering, with a track record of turning research insights into scalable, production-ready systems.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (BEng), Computer Science, Bachelor of Engineering (BEng), Computer Science at Massachusetts Institute of Technology
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