Arsany Guirguis is a Senior Research Scientist at Bloomberg AI with eight years of experience building scalable, trustworthy distributed machine learning systems. He holds a PhD from EPFL where his thesis focused on system support for robust distributed learning under Prof. Rachid Guerraoui, blending theory with practical system design. Before Bloomberg he trained in industry at Meta and completed research internships at Bloomberg and Huawei, plus a visiting scholar stint at Inria working on scalable GAN distribution. His expertise spans communication-efficient distributed ML, fault tolerance, and productionizing research prototypes into resilient systems. Originally trained at Alexandria University, he brings a strong academic foundation and hands-on networking and systems experience dating back to Cognitive Radio and SDN projects. Based in the UK, Arsany combines research rigor with applied engineering, often bridging lab-grade algorithms and real-world deployment constraints.
8 years of coding experience
4 years of employment as a software developer
Master's Degree, Master's Degree at Faculty of Engineering, Alexandria University
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at EPFL (École polytechnique fédérale de Lausanne)
OpenStack Storage (Swift). Mirror of code maintained at opendev.org.
Contributions:49 pushes, 1 branch in 3 years 2 months
opendevswiftopenstackstoragemacos
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Arsany Guirguis - Senior Research Scientist at Bloomberg