Emilio Oldenziel

Lead AI at Eraneos

Utrecht, Utrecht, Netherlands
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Summary

👤
Senior
🎓
Top School
Emilio Oldenziel is a Lead AI with 11 years of hands-on experience building teams and shipping production-grade machine learning and data platforms across mobility and utilities domains. He blends deep technical expertise in MLOps, computer vision, reinforcement learning and DevOps with entrepreneurial experience founding a fee-for-service data consultancy. His background includes research-driven innovation at Porsche on night-time object detection and practical toolkit development for large-text analytics during his university work. Based in Utrecht, he’s known for turning complex AI research into operational outcomes and for mentoring and teaching future engineers. Notably, he moves fluidly between building APIs and interfaces (Python/Django, React) and architecting ML infrastructure to accelerate deployment.
code11 years of coding experience
job9 years of employment as a software developer
bookVWO NT, Technasium, VWO NT, Technasium at SG Ubbo Emmius
bookMaster's degree, Computing Science, Master's degree, Computing Science at University of Groningen
languagesDutch, English, German, pools
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Github Skills (50)

yolov510
object-detection10
coreml9
hierarchical9
ios9
pytorch9
datasets9
onnx9
machine-learning9
torchvision9
yolov49
tflite9
deep-learning9
ultralytics9
computer-vision9

Programming languages (4)

TypeScriptC++ScalaPython

Github contributions (5)

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EmilioOldenziel/torch-cbc

Oct 2019 - Aug 2021

A PyTorch implementation of the paper "Classification-by-Components: Modeling Probabilistic Reasoning over a Set of Components"
Contributions:54 commits, 1 PR, 50 pushes in 1 year 10 months
pytorchprobabilistic-reasoningprobabilistic-modelinghierarchicalmachine-learning
EmilioOldenziel/RL-Yaniv

Feb 2023 - Jan 2024

The game of Yaniv implemented as a Gymnasium environment to be used for Reinforcement Learning.
Contributions:10 PRs, 8 pushes, 4 branches in 11 months
card-gamegym-environmentgymnasiumreinforcement-learning
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