Alvaro Moran

Machine Learning Engineer at Hugging Face

Toulouse, Occitania, France
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Summary

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Alvaro Moran is a Machine Learning Engineer based in Toulouse with 11 years of experience building embedded software, firmware and ML tooling across startups and large corporations. He moved from low-level roles—developing RTOS firmware, SoC bring-ups and Linux drivers at Intel, Parrot and others—into ML-focused engineering, having spent six years developing the Akida neural processor software stack (C++/Python, TensorFlow, ONNX) before joining Hugging Face. His background uniquely blends hardware-aware optimization and production ML deployment, making him adept at squeezing performance from constrained systems. Accustomed to cross-disciplinary teams, he has led power management and board bring-up efforts as well as platform design for automotive and IoT products. Fluent in both systems and ML ecosystems, he brings pragmatic engineering judgment to turn research models into robust, deployable solutions.
code11 years of coding experience
job19 years of employment as a software developer
bookBachelor's Degree Master's Degree Electronics Engineering, Bachelor's Degree Master's Degree Electronics Engineering at Università degli Studi di Genova
bookLiceo Classico, Liceo Classico at Liceo Classico Andrea D'Oria
languagesItalian, Spanish, French, English, Portuguese
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Github Skills (115)

transformers10
language-model10
python10
diffusion-models10
flax10
deep-learning10
image-generation10
quantization10
tflite10
optimization10
intel10
onnx10
audio10
falcon10
multi-gpu10

Programming languages (9)

DockerfileC++RustCCMakeJavaScriptJupyter NotebookRuby

Github contributions (5)

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tengomucho/dotfiles

Nov 2015 - Mar 2025

Contributions:60 pushes, 1 branch in 9 years 5 months
huggingface/optimum-tpu

Apr 2024 - Mar 2025

Google TPU optimizations for transformers models
Contributions:9 releases, 137 reviews, 141 PRs in 11 months
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Alvaro Moran - Machine Learning Engineer at Hugging Face