Sébastien Rouault

Chief Technology Officer at Calicarpa

Switzerland
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Summary

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Senior
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Top School
Sébastien Rouault is a Chief Technology Officer and former EPFL PhD who designs and ships applied security solutions for machine learning, blending rigorous research in robust, distributed ML and privacy with hands-on system engineering. With 11 years of experience spanning academia and industry—including a doctoral stint in EPFL’s Distributed Computing Laboratory and an internship at Cisco—he focuses on practical algorithms that improve real-world ML systems rather than purely theoretical constructs. He combines deep foundations in mathematics, statistics, and distributed systems with operational experience in networked system administration and product delivery. Based in Switzerland, Sébastien is known for turning provable robustness and privacy mechanisms into deployable components, reflecting a long-standing curiosity about automating complex systems that began in childhood.
code11 years of coding experience
bookMathematics, Physics, Mathematics, Physics at Lycée Ferdinand Buisson, Voiron
bookElectrical Engineering, Computer Science, Telecommunications, 3.7/4, Electrical Engineering, Computer Science, Telecommunications, 3.7/4 at CentraleSupelec
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at EPFL (École polytechnique fédérale de Lausanne)
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Github Skills (10)

sgd9
gradient-descent8
momentum8
byzantine8
pytorch6
machine-learning4
tensorflow4
ml3
python2
algorithms2

Programming languages (4)

C++HTMLPythonCuda

Github contributions (5)

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LPD-EPFL/ByzantineMomentum

Feb 2020 - May 2021

Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)
Contributions:7 commits, 4 pushes in 1 year 2 months
gradient-descentsgdpytorchmomentumbyzantine
srlt/faircrave

Apr 2015 - May 2016

Contributions:82 commits, 79 pushes, 1 branch in 1 year
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