About Renaud
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Experience
- les glénansLeisure sailing training at GlénanJanuary 2026 - Today (5 months)Concarneau, FranceIn advanced sailing training to improve my skills in this passion.This training, although it allows me to pass on my skills, is not intended to redirect me. I firmly intend to stay in IT, software development.
- SIISoftware Architect C++TRANSPORTATIONMay 2022 - January 2026 (3 years and 8 months)Nice, FranceIntermediary client: SII (Société pour l'informatique industrielle, ESN)End client: Amadeus (management for the distribution and sale of travel services)Number of epic changes on the same solution: 3.Mission initially defined for 3 days on-site, after 1 month, changed to full remote.Tasks performed:⠀⠀⠀⠀◾️ Implementation of a new industry standard, from scratch, from architecture, testing to deployment.⠀⠀⠀⠀◾️ Definition and integration of certain machine learning modules⠀⠀⠀⠀◾️ Definition of benchmarks for time and relevance modules.⠀⠀⠀⠀◾️ Proposal and implementation of optimizations based on benchmarks⠀⠀⠀⠀◾️ Construction of unit and functional tests according to solution evolution.Periodic tasks:⠀⠀⠀⠀◾️ Liaison/ticket dev - support: bug hunting, documentation refinement, validation of results assumed to be non-compliant with expectations.⠀⠀⠀⠀◾️ Proposal for evolution: envisioning and presenting, if necessary, improvements (structural, performance, usage) on the solution or organizational changes.⠀⠀⠀⠀◾️ Production deployment: validating PRs, tests, and organizing exchanges with functional testing and deployment teams on different environments.
- SensarSoftware Architect / Project ManagementTRANSPORTATIONDecember 2021 - February 2022 (3 months)Paris, FranceProject [S-02]Company:⠀⠀⠀⠀◾️ SENSAR develops and operates vision systems for⠀⠀ ⠀⠀⠀tunnels for the prevention of sinkholes, machine breakage, and forward⠀⠀ ⠀⠀⠀ ⠀⠀recognition.Mission:⠀⠀1 - Creation of a terrain evolution detector⠀⠀⠀⠀◾️ Analysis of specifications and development constraints.⠀⠀⠀⠀◾️ Functional specification 'from scratch'⠀⠀⠀⠀◾️ Integration of a pipeline to manage the image flow⠀⠀⠀⠀◾️ Integration of the automation system⠀⠀⠀⠀◾️ Integration of 'time-of-flight' cameras⠀⠀⠀⠀◾️ User display of images⠀⠀⠀⠀◾️ Recording of camera/image information on demand (RAW)⠀⠀⠀⠀◾️ Optimization and simulationThis project echoes the previous project [S-01]I am currently monitoring this project.Technical interests:⠀⠀⠀⠀◾️ Real-time⠀⠀⠀⠀⠀⠀⠀⠀◾️ Each image must undergo processing before being displayed,⠀⠀⠀⠀⠀⠀⠀⠀⠀ depending on user inputs⠀⠀⠀⠀⠀⠀⠀⠀◾️ Each image must be processed in less than 30ms.⠀⠀⠀⠀◾️ Multi-threading⠀⠀⠀⠀⠀⠀⠀⠀◾️ Each camera has its pipeline for image processing.⠀⠀⠀⠀⠀⠀⠀⠀◾️ Each element of the pipeline is executed by a thread.⠀⠀⠀⠀◾️ Bitmap (format)⠀⠀⠀⠀⠀⠀⠀⠀◾️ Each camera sends temperature information⠀⠀⠀⠀⠀⠀⠀⠀⠀ which must be converted to bitmap format before displayTechnical skills:⠀⠀⠀⠀◾️ C++⠀⠀⠀⠀◾️ Libraries:⠀⠀⠀⠀⠀⠀⠀⠀◾️ Qt 5.11.3⠀⠀⠀⠀⠀⠀⠀⠀◾️ Arena SDK - thinkLucid⠀⠀⠀⠀⠀⠀⠀⠀◾️ Twincat ADS (Automation Device Specification)Organization:⠀⠀⠀⠀◾️ Project Manager (internal)⠀⠀⠀⠀◾️ Software Architect: Renaud Vanhoutrève (me, external)
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Education
- Master in Computer Science, Specialization in Software and Knowledge EngineeringUniversity of Strasbourg (unistra)2013
- Bachelor's degree in Computer ScienceUniversity of Strasbourg (unistra)2011