Eben Kadile

Machine Learning And Signal Processing Engineer at NXP Semiconductors

Graz, Styria, Austria
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Summary

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Senior
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Top School
Eben Kadile is a doctoral student and machine learning engineer with eight years of experience applying mathematical rigor to real-world ML problems, most recently in embedded radar at NXP and research roles at KTH and TU Graz. Trained in mathematics (Stony Brook; TU Graz) and fluent in Python, C/C++, CUDA, and PyTorch/TensorFlow, he bridges fast prototyping and high-performance simulation to develop predictive models and training algorithms for cognitive tasks. He gravitates toward the “unsung” parts of ML—data cleaning and feature extraction—and is equally curious about generative models and reinforcement learning as emerging frontiers. Comfortable shipping on embedded platforms and visualizing complex systems with WebGL/three.js, Eben combines deep theory with hands-on engineering to move ideas from simulation to deployment.
code8 years of coding experience
job1 year of employment as a software developer
bookEl Camino College
bookBachelor's degree, Mathematics, Bachelor's degree, Mathematics at Stony Brook University
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Stackoverflow

Stats
779reputation
24kreached
5answers
34questions
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Github Skills (70)

python9
gpu9
pytorch9
autodiff9
machine-learning9
composable9
automatic-differentiation9
jit9
jax8
numpy8
deep-learning8
convolution8
tpu8
tensorflow8
typescript8

Programming languages (5)

TypeScriptC++RustHaskellPython

Github contributions (5)

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Contributions:9 commits, 7 pushes, 1 branch in 1 year 5 months
Ebanflo42/Persistence

Oct 2017 - Mar 2021

Contributions:2 releases, 190 commits, 104 pushes in 3 years 5 months
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Eben Kadile - Machine Learning And Signal Processing Engineer at NXP Semiconductors