Summary
Yong Lee is a software engineer with 13 years of experience building production systems across finance, academia, and startups, currently contributing to fixed-income pricing data platforms at Bloomberg in New York. He blends systems and backend expertise—containerization, Kubernetes, and cloud deployments—with hands-on performance tuning, such as implementing async event queues and parallel consumers to boost throughput. At the University of Michigan he translated research into production-ready tooling, containerizing a DNN batch-size optimizer and running experiments on AWS EKS with Kubeflow for energy- and carbon-aware scheduling. Yong’s background also includes leading backend teams, designing resilient backup and notification systems, and improving database performance through indexing and API design. A former signaller in the Republic of Korea Army, he brings disciplined operational thinking and a track record of reducing downtime and delivery friction. He prefers building pragmatic, scalable solutions that bridge research prototypes to reliable, user-facing services.
13 years of coding experience
2 years of employment as a software developer
Master, Software engineering, Master, Software engineering at Wuhan University
Master of Science, Computer Science, Master of Science, Computer Science at Illinois Institute of Technology
Bachelor, Software engineering, Bachelor, Software engineering at Wuhan University of Technology