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
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Michigan
English, Korean