Nahua Kang
Software Engineer at Aignostics
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolNahua Kang is a software engineer with a decade of experience building backend systems and contributing to high-profile open source projects. Based in Berlin, she specializes in Rust and has a visible track record of meaningful contributions to projects like rust-clippy, the V language, and notable repos such as OpenMined's PySyft. Her work spans refactoring, documentation, lint development, and numerical/tensor functionality improvements, reflecting a pragmatic focus on maintainability and correctness. She has shipped production Rust systems at startups and fintechs and now works at Aignostics, combining domain-driven engineering with hands-on implementation. Trained in international management and with a BA in History, she brings interdisciplinary thinking and clear technical communication to complex engineering problems. An avid open-source maintainer, she pairs a passion for history and literature with meticulous code hygiene—check her Rust commit history for a less-obvious window into her craft.
10 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.) International Business International Management (CEMS), Master of Science (M.Sc.) International Business International Management (CEMS) at Stockholm School of EconomicsBachelor of Arts (B.A.) History, Bachelor of Arts (B.A.) History at Texas A&M UniversityLondon School of Economics and Political Science
Chinese, English, German, Arabic, Swedish, French
Stackoverflow
396reputation
32kreached
5answers
17questions
Github Skills (39)
unit-testing10
vlang10
pytorch10
programming-language10
python10
operation10
tensorrt10
deeplearning-ai10
code-analysis10
compiler-compiler10
go10
deep-learning10
tensorflow10
vue10
compiler10
Programming languages (16)
Github contributions (5)
quic/sense
Oct 2020 - Feb 2021
Enhance your application with the ability to see and interact with humans using any RGB camera.
Role in this project:
Backend Developer
Backend DeveloperContributions:26 reviews, 69 commits, 11 PRs in 4 months
Contributions summary:Nahua primarily focused on enhancing the project's functionality and maintainability through code documentation and refactoring. They added detailed documentation for key functions like `put_text` and the `DisplayResults` class, improving code clarity. Further contributions included abstracting base classes for better code organization and adding documentation to base display subclasses. These changes suggest an effort to improve code readability and usability.
pytorchdeep-learningcameracomputer-visionneural-networks
OpenMined/PySyft
Oct 2017 - May 2022
Perform data science on data that remains in someone else's server
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 review, 35 commits, 13 PRs in 4 years 8 months
Contributions summary:Nahua primarily contributed to implementing and refining core functionalities within the `pysyft` repository. Their work involved adding and modifying methods, particularly related to the `fmod` function, across multiple files like `tensor.py`, `math.py`, and test files. They also addressed style issues, improved test coverage, and fixed bugs within existing methods, enhancing the library's functionality and robustness. These contributions are focused on extending the mathematical capabilities of the tensor operations.
pytorchcryptographyacquiringpythonscience
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