Lauren Arnett
Senior Software Engineer, Backend at Shortcut
New York, New York, United States
Summary
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Senior🎓
Top SchoolLauren Arnett is a Senior Backend Software Engineer based in New York with nine years of experience building reliable data pipelines and backend services using Java and the Clojure/ClojureScript stack. A Columbia Computer Science graduate, she has shipped production systems for energy market streaming data and led full‑stack features around permissions and configurability at Shortcut. Her contributions to the Numba project show a careful attention to numerical correctness and test quality, improving reshape semantics and edge‑case coverage in a well‑known NumPy/LLVM codebase. Currently at the Recurse Center batch, she’s deepening her expertise in Haskell, distributed systems, and SIMD parallelism, reflecting a penchant for low‑level performance and formal thinking. Practical and curious, she combines research experience in computational social science and computer vision with production engineering to tackle both algorithmic and systems challenges.
9 years of coding experience
5 years of employment as a software developer
De Pere High SchoolBachelor of Arts - BA, Computer Science, Bachelor of Arts - BA, Computer Science at Columbia University in the City of New York
Github Skills (12)
unit-testing10
compiler10
compiler-compiler10
numba10
python10
unit-test10
numpy10
testing10
algorithms8
data-structures8
algorithm8
data-structure8
Programming languages (7)
Github contributions (5)
numba/numba
Apr 2021 - Apr 2021
NumPy aware dynamic Python compiler using LLVM
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:2 reviews, 8 commits, 1 PR in 1 day
Contributions summary:Lauren focused on enhancing the functionality of a "dummy array" implementation within the Numba project, a NumPy aware compiler. Their contributions included adding checks and implementing the inference of unknown dimensions when reshaping arrays. Furthermore, the user significantly improved the test suite, adding comprehensive tests to validate the behavior of the reshape function under various conditions, including error cases. These changes suggest a focus on refining the array manipulation logic and ensuring its reliability.
cudapythonparallelnumpynumba
laurenarnett/laurenar.net
Aug 2020 - Aug 2023
My homepage
Contributions:4 PRs, 36 pushes, 3 branches in 3 years 1 month
my-homepage
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