Eben Kadile
Doctoral Student at KTH Royal Institute of Technology
Graz, Styria, Austria
Summary
👤
Senior🎓
Top SchoolEben 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.
9 years of coding experience
5 years of employment as a software developer
El Camino CollegeMaster's degree, Mathematics, Master's degree, Mathematics at Technische Universität GrazBachelor's degree, Mathematics, Bachelor's degree, Mathematics at Stony Brook University
Stackoverflow
779reputation
24kreached
5answers
34questions
Github Skills (47)
topology10
topological-data-analysis10
python9
gpu9
haskell9
jax9
jit8
deep-learning8
machine-learning8
typescript7
tensorflow7
vector6
binary-data6
scientific-computing6
neural-network6
Programming languages (5)
Github contributions (5)
Ebanflo42/Persistence
Oct 2017 - Mar 2021
A topological data analysis library for Haskell
Contributions:2 releases, 190 commits, 104 pushes in 3 years 5 months
haskelltopological-data-analysistopology
Ebanflo42/video-frame-analyzer
Sep 2018 - Feb 2020
Contributions:9 commits, 7 pushes, 1 branch in 1 year 5 months
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