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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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.
8 years of coding experience
1 year of employment as a software developer
El Camino College
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Stony Brook University
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