Haibin Chang
Data Engineer
Singapore
Summary
👤
Senior🎓
Top SchoolHaibin Chang is a data engineer with 11 years of experience building data platforms and operations for quantitative and financial firms across Singapore and beyond. Currently at Brevan Howard after roles at Moody’s Analytics and ExodusPoint, he blends production-grade data engineering with a strong mathematical foundation from the University of Michigan and NUS. He has a track record of translating mathematical models into reliable data pipelines and tooling for risk and analytics teams. An active speaker on functional programming topics, he brings functional design principles (F#, Python idioms, monads and pipe notation) into pragmatic engineering practice. Outside of work he’s interested in mathematics education and libertarian ideas, a combination that shapes his preference for clear, principled solutions and lightweight, composable systems.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Mathematics, Master's degree, Mathematics at University of MichiganBachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at National University of Singapore
English, Chinese
Github Skills (12)
intellisense8
core-library6
visual-studio5
language-service5
tooling5
dotnet5
netcore5
functional-programming5
csharp4
compiler3
fsharp3
elm1
Programming languages (1)
Github contributions (5)
ChangHaiBin/functional_python_talk
Jul 2019 - Sep 2020
Contributions:7 commits, 6 pushes, 1 branch in 1 year 2 months
ChangHaiBin/PythonCombinators
Dec 2019 - Sep 2023
Contributions:8 pushes, 1 branch in 3 years 9 months
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