Dee Yeum is a software engineer with 8 years of experience building low-latency trading engines and performant web runtimes, currently working on Smarkets’ prediction-market trading infrastructure. Comfortable across Haskell, OCaml, Python and TypeScript, Dee has delivered everything from a WebAssembly compiler that sped client runtimes by up to 90% to scalable Flask APIs on AWS for government projects. They combine research-grade rigor (University of Edinburgh teaching and research roles, automated testing platforms used by 500+ students) with production HFT experience as a quantitative developer. Dee has a track record of automating CI/CD and end-to-end testing for cross-browser deployments and designing systems that meaningfully reduce operational cost and marking time. Elected leadership roles and successful fundraising for student tech societies underscore strong interpersonal and organizational skills alongside technical depth. Pragmatic, deadline-driven, and curious, Dee thrives at the intersection of functional programming, compiler/runtime performance, and real-time trading systems.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Informatics, Bachelor of Science - BS Informatics at The University of Edinburgh
Contributions:8 PRs, 27 pushes, 2 branches in 1 year 1 month
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