Machine Learning Engineer
CurrentContributing to the Hugging Face infrastructure system administration, and resource usage optimizations
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Raphael Glon is listed as Machine Learning Engineer at Hugging Face, a with 30 employees, based in Brest, Brittany, France. AeroLeads shows a matched LinkedIn profile for Raphael Glon.
Raphael Glon previously worked as Datascientist at Ovhcloud and System Administrator and developer, Baremetal Team at Ovhcloud. Raphael Glon holds Diplôme D'Ingénieur, Applied Mathematics, Statistics, Optimization from Ensta Paris.
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Motivated by technical challenges in both the fields of IT and applied mathematics. Enthusiastic whenever there is data to play with. Some successes using datascience on various topics like monitoring, infrastructure sizing, DDoS protection or product recommendations. Strong sysadmin skills, able to design secure, robust and scaling architectures. Thrilled when it comes to finding flaws in systems or designing countermeasures against their vulnerabilities.
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Brest, Bretagne, France
Contributing to the Hugging Face infrastructure system administration, and resource usage optimizations
Brest, Bretagne, France
Tech Lead since June 2022Various topics:- DDoS detection and filtering- Monitoring and crash prediction: https://blog.ovhcloud.com/network-devices-overheat-monitoring/- Product recommendations: different approaches, collaborative filtering, sequence forecast- Time to data loss estimations in big storage clusters (statistics, Monte-Carlo simulations)- Electrical infrastructure sizing (kernel density estimations, quantile estimations, regressions)
Brest, Bretagne, France
I worked on many systems, with high scaling and performances requirements. My system administrator skills improved significantly. I contributed to many projects, from architecture design to implementation and performance benchmarking.My job mainly consisted in automating baremetal deployments and making sure the operating systems we proposed to our customers worked correctly and optimally when installed on the various hardware configurations and processor architectures in our stock.I also had the opportunity to get my first machine learning experience, using time series forecast to contribute to a more global monitoring problem (patent, US202016859172)Among other successes:Baremetal spawn time in Public Cloud: brought down from 20 to 3 minutes.Security, countermeasures against rootkits and backdoors on baremetal with measured boots and system fingerprintingFast and streamable disk or file compression+backup/restore method, taking advantage of some hardware accelerations or filesystem properties to drastically shorten the restore process
Brest, Bretagne, France
I worked on Public Cloud. I brought my former Openstack experience at Thalès in several distinct fields.Virtual networks: I helped designing and implementing a scalable and long lasting solution for the Public Cloud virtual machines public network.Virtualization and hypervisors: serveral alternative processor architectures to x86_64 (PPC64, ARMv8) were integrated.Object Storage: system administration, cluster management, scaling and monitoring. Some on-call duties at nights and weekends too.
Élancourt, Île-De-France, France
Thalès Services ITOI was given the opportunity to get familiar with many technologies that were new to me: networks in information systems, virtualization. I contributed to an internal IaaS solution, based on Openstack open-source project. Among other things I worked on a critical security component, consisting in automating the dynamic and incremental configuration update of hardware firewalls. Coding languages: java and python.
Clamart, Île-De-France, France
The goal of this end-of-study project was to implement and compare two specific approaches designed to solve the following problem: optimize the two-year electricity production total cost by dispatching the demand over different production means (hydroelectric, nuclear or thermal). These approaches consisted in dynamic programming, and differentiable optimization. The code consisted mainly of C/C++ programming, coupled with OpenMP parallelization.
Other employees you can reach at huggingface.co. View company contacts for 30 employees →
David Berenstein
Colleague at Hugging FaceMadrid, Community Of Madrid, Spain
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Nimco Maxamed
Colleague at Hugging FaceMogadishu, Banaadir, Somalia
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Qadir Thomas
Colleague at Hugging FaceFayetteville, New York, United States
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Nazmul Hosen
Colleague at Hugging FaceSylhet, Bangladesh
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Felipe Trevisol
Colleague at Hugging FaceCascavel, Paraná, Brazil
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Ka Ka
Colleague at Hugging FaceVoat Phnum, Phnom Penh, Cambodia
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Dan Undefined
Colleague at Hugging FaceNairobi, Nairobi County, Kenya
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Adam Molnar
Colleague at Hugging FaceGeneva Metropolitan Area, Switzerland
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Nithin Chowdary
Colleague at Hugging FaceUnited States
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Assaad Makary
Colleague at Hugging FaceZgharta, North Governorate, Lebanon
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Two-year intensive program in math and physics, preparing for the highly competitive entrance exams to top french engineering schools.
Quick answers generated from the profile data available on this page.
Raphael Glon works for Hugging Face.
Raphael Glon is listed as Machine Learning Engineer at Hugging Face.
Raphael Glon is based in Brest, Brittany, France while working with Hugging Face.
Raphael Glon has worked for Hugging Face, Ovhcloud, Thales, and Edf.
Raphael Glon's colleagues at Hugging Face include David Berenstein, Nimco Maxamed, Qadir Thomas, Nazmul Hosen, and Felipe Trevisol.
You can use AeroLeads to view verified contact signals for Raphael Glon at Hugging Face, including work email, phone, and LinkedIn data when available.
Raphael Glon holds Diplôme D'Ingénieur, Applied Mathematics, Statistics, Optimization from Ensta Paris.
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