We continue our series of portraits with Alexandre, PhD in Software engineering, and one of our research and development engineers. He uses his expertise in H2020 European projects and clients' projects, with natural language processing, LSTM, pattern detection, and so many other things.
Alexandre: : Moien! I am research and development engineer at DataThings. I participate in various internal and client projects, from design to implementation.
Alexandre: When starting at DataThings I joined the InterQ European project, which led me to work with various partners from all over Europe, both academic and industrial, mostly focusing on making use of machine-learning techniques to ensure quality and continuation of manufacturing processes for automotive and aeronautic engine parts. I also work on industrial projects for our clients, on pattern detection in sensor signals or natural language processing for classification of text.
Alexandre: While I am more keen on working with GreyCat whenever the occasion shows up, my work still has me use Python a lot towards ML-based data exploitation for partners and clients projects. Integration of such project also occasionally leads me to get my hands into some TypeScript or JavaScript, while I may develop a little bit of C when giving a hand on GreyCat, and good old Java when I need a one-shot thing quickly done.
Alexandre: It basically reflects the profusion of my previous answer: not a single day looks like the other, whether I will be training an ML model, debugging some feature from one of our projects, preparing content for dissemination of our works and projects. This fluidity in how tasks are handled day to day, with everybody ready to give a hand where and when they can, is by far the best part of the job.
Alexandre: Relaxed, wouldn’t like it any other way 😛
Alexandre: Now that’s a tough question, I guess none? Or all? It’s hard to consider I was not a little bit shaped by all of them in one way or another… To shift the question a bit I’d say I mostly feel great at my job when suddenly something clicks in my understanding of problems I am facing. In this respect, lately the InterQ project might be the one where I experienced this the most.
Alexandre: It greatly depends on the task I’m working on, but for most I’d rather work on-site than remotely.
Alexandre: I come from western France, not far from Nantes where I spent twelve years before moving from Rennes to Lille, eventually arriving around Luxembourg in March 2021.
Alexandre: Real question is: unsalted butter or salted butter?
Alexandre: There is no such thing as beurre doux
Alexandre: Ocean. Everyday
Alexandre: : I have always had a thing for both theoretical and technical stuff, which naturally led me to apply for a Bachelor in mathematics and computer science. Eventually I focused more on software architecture for my Master and the Internet of Things for my Ph.D. thesis in Nantes. Professional experiences over the years, before and after I applied for my Ph.D., had me develop interest and skills in such various things as virtualisation, embedded systems and data science.
Alexandre: I am so bad an attacker that I still trust the defender position if I have any choice, but with a mean diagonal approach to it that I hope will give some results with practice.
Alexandre: Mostly by train, but still occasionally by car, though too much to my taste.
Alexandre:While I certainly don’t practice as much as I’d like, playing piano is by far the most stirring thing I can get myself into.
Alexandre: I had the opportunity of working with early versions of GreyCat in my last job. In this context I had the occasion to visit DataThings in late 2019 and both the GreyCat and the way & atmosphere it was led in clicked for me. So when I was offered a position, it was only natural to join in the adventure, which somehow found a way to exceed my expectations!
Alexandre:🙃 😛 😀
Alexandre: If you’re looking for an emulating working environment, working on mind-challenging yet concrete stuff, then don’t look any further! That + we may have cookies.
Alexandre: I’d say Luxembourg city. Being one of the centres of EU while not so large of a city, the place really feels like Europe in a nutshell, which I find really refreshing while strolling in the Ville Haute or Grund quarters.
Are you passionate about machine learning, AI, and software engineering? Do you like to code and work on hard problems? Are you determined and motivated to find the best possible solutions? And above all you are a great teams player? We are looking forward to hearing from you!