About Franck
An experienced problem solver, I will bring deep technical understanding to your team and great debugging and building skills for your next big project. The tougher the challenge, the better, as the challenge really drives me.
My career is mostly public research in labs, so I am not afraid by experimental fast moving PoC driven development, or working in all sizes of teams from solo questing to larger teams.
My main tech has been Node.JS/Node-RED for IoT applications out of flexibility and interoperability, but I am comfortable with all manners of embedded software development, but also the rest of the stack all the way to React.JS front ends. I have worked on projects where I did it all - embedded software, hardware design, data acquisition, edge computing, cloud processing, AI, data visualisation, and user friendly interfaces.
In short, I can do (practically) anything, the bigger the challenge the bigger the drive, and I am an incredible tool for your next project.
French
Native or bilingual
English
Native or bilingual
German
Basic
Italian
Basic
Can work on-site
Nice (up to 50km)
Experience
- I3S research laboratoryInternshipRESEARCHApril 2016 - September 2016 (5 months)Sophia Antipolis, Valbonne, FranceDevelopment of home automation applications and smart devices for a project on innovative home assistance services to the elderly. OpenHAB gateway, interfaces with research platform, embedded software.
- I3S research laboratorySoftware EngineerJanuary 2016 - January 2018 (2 years)Sophia Antipolis, Valbonne, FranceExtension and généralisation of the work I started during my internship. Added interfacing with Node-RED via C# interop and semantic data driven filterings.
- EU project ENACT, CNRS/I3S (Sophia-Antipolis)Software EngineerJanuary 2018 - January 2020 (2 years)Project goal was to propose a set of tools allowing a DevOps approach to IoT applications, targeting reliability and service quality - https://www.enact-project.eu/I worked on the CNRS enablers, Actuation Conflict Manager and Behavioural Drift Computation. Clients made using React/Ant Design, servers in NodeJS or Java connected to a Jena knowledgebase. Dynamic modification of ThingML syntax trees to add features. Integration with partner enablers across the project. Built demo setups and edited videos.
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Education
- DUTUniversité de Nice-Sophia Antipolis2013DUT
- Software Engineer - Ambient ComputingPolytech' Nice-Sophia2016Engineer in computer science from Polytech' Nice-Sophia, with a minor in ambient computing (IoT and related technologies like edge computing)