Unai Alegre-ibarra
Senior Research Engineer at CNH
Zaandam, North Holland, Netherlands
Summary
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Senior🎓
Top SchoolUnai Alegre-ibarra is a Senior Research Engineer based in Zaandam with a decade of experience developing machine learning, deep learning and computer vision solutions for autonomous vehicles and agricultural machinery. He holds a PhD in Context-Aware Systems Engineering and has led hardware-accelerated deep learning projects in collaboration with industry partners such as Toyota Motor Europe. His work spans research and hands-on engineering—from building efficient CNNs and custom deep learning frameworks to deploying perception algorithms for autonomous tractors. Unai combines academic rigor from postdoctoral research with product-focused innovation at companies like Raven Industries and CNH, bridging prototypes to real-world vehicle systems. An early maker comfortable with embedded C/C++ and system-level integrations, he brings both low-level hardware insight and high-level ML expertise. Colleagues rely on him to translate complex perception research into practical, deployable solutions for safety-critical mobility.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science: Context-Aware Systems Engineering, Doctor of Philosophy (PhD), Computer Science: Context-Aware Systems Engineering at Middlesex UniversityMaster's of Embedded Systems, Computer Science and Electronics, Master's of Embedded Systems, Computer Science and Electronics at Mondragón Unibertsitatea
Github Skills (37)
simulations10
hardware10
searching10
python9
capacity9
cycle9
chips9
deep-learning9
surrogate9
architectures9
silicon9
mamba8
prototyping8
gpu8
machine-learning8
Programming languages (2)
Github contributions (5)
BraiNEdarwin/brainspy-algorithms
Sep 2019 - Oct 2020
A python package created and maintained by the Brains team of the NanoElectronics group at the University of Twente containing the main optimisation algorithms used for training boron-doped silicon chips both in hardware and with surrogate models.
Contributions:39 PRs, 61 pushes, 2 branches in 1 year
pythonsiliconoptimizationtrainingoptimisation-algorithms
ualegre/mreasoner-gui
Sep 2016 - May 2018
Contributions:43 commits, 1 PR, 30 pushes in 1 year 8 months
awarenessintelligent-environmentscontext-awarenessintuitivepatterns
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