Ezequiel Arneodo
HID Machine Learning Engineer at Apple
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolEzequiel Arneodo is a HID Machine Learning Engineer at Apple with 11 years of experience bridging neuroscience, dynamical systems, and embedded hardware to decode and synthesize complex vocal behavior. He holds a PhD in Physics and has led end-to-end projects—from designing 4µm carbon-fiber electrode arrays and miniaturized headstages to building sensors and deep learning models that reduce 100+ neuron populations to low-dimensional latent spaces for real-time song synthesis. His work blends hands-on electronics (Altium, SolidWorks, embedded C/C++), real-time DSP, and modern ML (TensorFlow, scikit-learn), and has produced cross-disciplinary outputs including grants, multiple papers, and public-facing media coverage. Notably, he has translated biomechanical vocal models into neural decoding pipelines and prototyped prosthetic avian vocal organs, demonstrating a rare mix of theoretical insight and hardware craftsmanship. Based in San Diego, he combines technical leadership and mentorship across academia and industry to drive biologically grounded ML solutions.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at University of Buenos AiresMaster of Science - MS, Physics, Master of Science - MS, Physics at Universidad Nacional de La Plata
English, Spanish, german (sprachdiplom stufe ii)
Stackoverflow
664reputation
171kreached
6answers
2questions
Github Skills (28)
electrophysiology8
connectivity8
computational-neuroscience8
data-retrieval7
binder7
neuroscience7
spike7
sorting6
keras6
tensorflow6
pipeline6
package6
baduk6
tqdm6
jupyterlab6
Programming languages (4)
Github contributions (5)
zekearneodo/zekearneodo.github.io
Dec 2019 - Nov 2024
Contributions:23 pushes, 1 branch in 4 years 11 months
zekearneodo/analysis-tools
May 2016 - Jun 2021
Contributions:2 pushes in 5 years 1 month
analyzingpythonguiopen-ephysephys
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