Iker Ceballos
Machine Learning Engineer at Acuratio
San Sebastián, Autonomous Community of the Basque Country, Spain
Summary
👤
Senior🎓
Top SchoolIker Ceballos is a Machine Learning Engineer based in San Sebastián with eight years' experience building privacy-preserving AI systems at the intersection of federated learning, distributed computing, and scalable model deployment. At Acuratio since 2017 he has focused on enabling collaborative model training across organizations while maintaining data confidentiality, turning research concepts into production-ready workflows. His academic background spans Universidad de Navarra and a master's thesis at Aalborg Universitet, grounding his applied work in strong theoretical foundations. Comfortable spanning research and engineering, he brings practical expertise in orchestration and systems that make federated approaches operational. Colleagues know him for marrying attention to privacy with a pragmatic drive to ship robust, distributed ML solutions.
8 years of coding experience
Bachelor's degree, Bachelor's degree at Universidad de NavarraMaster's Thesis, Master's Thesis at Aalborg Universitet
Spanish, English, Basque
Github Skills (22)
python10
vpn10
data-science10
machine-learning10
ml10
wireguard10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
oauth10
secure-computation9
pytorch9
tailscale9
security9
Programming languages (3)
Github contributions (5)
ceballosiker/PySyft
Sep 2018 - Jul 2023
A Library for Private, Secure, Multi-Owner Deep Learning - Currently Pre Alpha
Contributions:4 pushes, 1 branch in 4 years 10 months
pytorchsecurepre-alphadeep-learningmachine-learning
ceballosiker/shap
Jul 2023 - Mar 2025
A game theoretic approach to explain the output of any machine learning model.
Contributions:55 pushes, 3 branches in 1 year 8 months
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