Taine Zhao

Member at The Julia Language

Tsukuba, Japan
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Summary

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Taine Zhao is a software engineer with nine years of experience specializing in compilers and functional languages, currently contributing to The Julia Language from Tsukuba, Japan. He brings deep expertise in Python, Julia, and ML-family languages (PureScript, Haskell, F#, OCaml) and a practical focus on compiler backends and code generation. Notably, he contributed to the widely used Fable compiler by improving its Python backend—fixing mutation/inlining bugs, adding hashable records, and enhancing Python 3.8-compatible type annotations. His background includes a research internship at Microsoft Research Asia and rigorous academic training in computer science and applied mathematics. Taine combines research-grade rigor with hands-on engineering, preferring to tackle exciting, language-level problems end-to-end. Colleagues would describe him as a compiler tinkerer who treats language implementation as both craft and art.
code9 years of coding experience
bookComputer Science, Computer Science at 筑波大学
bookBachelor's Degree, Applied Mathematics, 3.54/4.0, Bachelor's Degree, Applied Mathematics, 3.54/4.0 at Najing University of Science and Technology
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Stackoverflow

Stats
26reputation
1kreached
1answer
0questions
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Github Skills (9)

fsharp10
python10
compiler-design9
typescripts8
typescript8
typescript-types8
ios6
mobile-safari6
github6

Programming languages (29)

C#CStandard MLInkHTMLJupyter NotebookReasonTypeScript

Github contributions (5)

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fable-compiler/Fable

Jan 2022 - Jan 2022

F# to JavaScript, TypeScript, Python, Rust and Dart Compiler
Role in this project:
userBack-end Developer
Contributions:9 commits, 5 PRs, 8 comments in 10 days
Contributions summary:Taine primarily contributed to the Fable compiler's Python backend, focusing on fixing bugs and improving the Python code generation. They addressed issues related to variable mutations and inlining, specifically targeting Python 3.8 compatibility. Furthermore, the user worked on implementing hashable records and improved the type annotation generation for the Python target, enhancing the compiler's ability to produce correct and efficient Python code.
pythonrustfsharpjavascriptdart
thautwarm/MLFS.jl

Aug 2020 - Aug 2020

MLFS type system: raising ML to the power of system F in a Simplest way
Contributions:78 commits, 7 PRs, 55 pushes in 6 days
simplestsystem-fmachine-learningtype-systempower
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Taine Zhao - Member at The Julia Language