I am a passionate DevOps engineer with 3 years of experience, specializing in building application platforms using Terraform, Ansible, and Kubernetes. My automation of infrastructure helps developers to have efficient and quickly deployable working environments, enabling them to focus on their core tasks without delays.
Nov 2022 - Present
Noisiel
The Banque de France is a national financial institution that supervises and regulates French banks and provides services to the government and businesses.
Oct 2023 - Present
Nov 2022 - Oct 2023
Sep 2021 - Oct 2022
Paris
The Armed Forces Headquarters provides strategic military oversight and support, handling logistics, communications, and operational needs across various defense divisions.
Sep 2021 - Oct 2022
Jan 2017 - Jan 2021
Vannes
The French Army’s Marine Infantry specializes in amphibious and rapid deployment operations, providing defense and peacekeeping support worldwide.
Jan 2017 - Jan 2021
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2023-2025
Master’s in Information Systems, DevOps, Infrastructure & Cloud specializationCGPA: 16 out of 20Publications:Taken Courses:
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2022-2023
Bachelor's Degree in Information Systems, System Administration, and Cloud ComputingCGPA: 16.07 out of 20Taken Courses:
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2015-2017
Higher National Diploma in IT Systems and Network AdministrationCGPA: 14.55 out of 20Taken Courses:
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Production-Grade Container Scheduling and Management.
An Open Source Machine Learning Framework for Everyone.
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The best way to write secure and reliable applications. Write nothing; deploy nowhere.
A Hugo theme for personal portfolio.
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This course helps to understand the key concepts such as networking, storage, security, maintenance, logging and monitoring, application lifecycle, troubleshooting, API object primitives etc. It also help to grow the ability to establish basic use-cases for end users.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
This course is a complete guide to master the SDIs. It is created by hiring managers who’ve been working at Google, Facebook, Microsoft, and Amazon. We’ve carefully chosen a set of questions that have not only been repeatedly asked at top companies, but also provide a thorough experience to handle any system design problem.
Discover how to create responsive and high performance software. Develop programs with Golang that are highly Concurrent and Parallel. Improve your programming skills in Go with more advanced, multithreading topics.
