Liyah C

New York, New York, United States
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Summary

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Liyah C is an aspiring creative technologist with six years of engineering experience based in New York City. She has contributed to high-impact open-source infrastructure, notably improving JAX’s persistent compilation cache with a FileSystemCache implementation, LRU eviction, thread safety, and integrations for jit/pmap workflows—work that helps accelerate ML workloads on GPUs/TPUs. Comfortable in backend systems, she brings a practical focus on performance, reliability, and observability. Currently tied to NYU academically, she blends a curiosity-driven, creative mindset with hands-on systems engineering. An intriguing strength is her knack for making low-level tooling more usable for researchers and production teams alike.
code6 years of coding experience
bookNew York University
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Github Skills (10)

testing10
caching10
jax10
python10
compilation9
filesystem9
file-management9
mlops9
xla8
parallel-computing8

Programming languages (6)

C#JavaShaderLabJupyter NotebookPythonJsonnet

Github contributions (5)

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jax-ml/jax

May 2021 - Jul 2021

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Role in this project:
userBack-end Developer
Contributions:14 reviews, 15 commits, 14 PRs in 2 months
Contributions summary:Liyah primarily contributed to the development and improvement of the persistent compilation cache within the JAX library. Their work involved implementing the `FileSystemCache` class, adding an LRU eviction policy to manage cache size, and integrating the cache with core functionalities like pmap, jit, xmap, and pjit. They also implemented a function to generate cache keys, ensured thread safety, and added debugging logs to the compilation cache.
pytorchpythonjitautomatic-differentiationgpu
googleinterns/step42-2020

Jun 2020 - Jun 2023

Contributions:61 PRs, 99 pushes, 56 branches in 3 years
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Liyah C