Ethan Caballero
Graduate Student
Agi, Benue State, Canada
Summary
👤
Senior🎓
Top SchoolEthan Caballero is a machine learning researcher and developer with 11 years of experience, currently pursuing a PhD at Mila and contributing to cutting-edge work in deep learning, generative models, and reinforcement learning. He has practical production and research experience from roles at Mila, Google DeepMind, Graphcore, and multiple AI startups, where he optimized models on accelerator hardware and implemented memory- and controller-based neural architectures for dialog and QA. Ethan’s publications and code contributions (including Myia commits and multiple arXiv papers) reflect a focus on scaling, generalization, and efficient training techniques like gradient checkpointing. Comfortable across PyTorch and TensorFlow, he blends research rigor with engineering pragmatism to move ideas into robust implementations. Based in Canada, he also cultivates cross-disciplinary curiosity—his GitHub bio playfully hints at broad interests from neuroscience to space—suggesting a researcher who connects diverse inspirations to technical solutions.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Mila - Quebec Artificial Intelligence Institute
English, Spanish, Latin, c++, python, lua, vhdl, assembly (x86), mathematica, javascript, rna/dna, max/msp, latex
Github Skills (119)
python10
generative10
deep-learning10
gpu10
gpu-acceleration10
serve10
summaries10
acceleration10
numpy10
ml10
neural-network10
deep-reinforcement-learning10
actor-critic10
tensor10
unity3d10
Programming languages (6)
Github contributions (5)
ethancaballero/description2code
Jul 2016 - Mar 2022
Contributions:3 releases, 51 commits, 51 pushes in 5 years 9 months
ethancaballero/broken_neural_scaling_laws
Oct 2022 - Mar 2023
Code Release for "Broken Neural Scaling Laws" paper
Contributions:53 commits, 55 pushes, 1 branch in 4 months
machine-learninglawsscaling-lawsbrokenscaling
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