Damien Ridereau
Devops Engineer at MAIF
Nantes, Pays de la Loire, France
Summary
👤
Senior🎓
Top SchoolDamien Ridereau is a DevOps engineer based in Nantes with 13 years of hands-on experience and a 17-year background in information systems, blending deep Java application expertise with modern cloud-native practices. He has led migrations of large application portfolios to Azure, automated multi-environment Pulumi infrastructures, and implemented secure secret management with Azure Key Vault while building tooling (a Node CLI) to streamline operations. Previously he shaped hybrid Kubernetes platforms, improved platform reliability with Prometheus/Nagios, and raised quality and testing standards as a technical leader delivering measurable gains in test coverage and code quality. Early career work includes industrializing and operating the GROBID machine-learning extraction stack for the European Patent Office, demonstrating a comfort zone at the intersection of backend engineering and production operations. Known for pragmatic documentation and knowledge transfer, he regularly runs workshops and authors procedures that make complex cloud transitions repeatable and auditable.
13 years of coding experience
9 years of employment as a software developer
Ingénieur Systèmes d'information, Ingénieur Systèmes d'information at Eseo
French, English
Github Skills (14)
api-rest10
javas10
rest-api10
api10
rest10
java10
restful-api10
text-processing9
xml9
jspx6
jsp6
machine-learning4
deeplearning-ai4
deep-learning4
Programming languages (3)
Github contributions (5)
kermitt2/grobid
Sep 2012 - Apr 2013
A machine learning software for extracting information from scholarly documents
Role in this project:
Back-end Developer
Back-end DeveloperContributions:203 commits in 7 months
Contributions summary:Damien's commits primarily involve modifications to the Grobid REST service and core components, suggesting a focus on back-end development. Specifically, the user worked on adding and modifying REST endpoints for processing various text-based data, including dates, authors, affiliations, and citations. Code changes show the implementation of functionalities, such as the inclusion of HTML formatting and integration of XML data, indicative of work with RESTful API design.
pdfdeep-learningfulltextmachine-learningscientific-articles
IRIS-LAB/hivent-events-api
Jan 2019 - Jun 2022
Contributions:1 PR, 1 push in 3 years 5 months
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