Description

Hello, my name is Quentin Dinel. I am a DevOps Engineer in the aviation industry, specializing in automating complex workflows. My core focus is building and maintaining robust CI/CD pipelines in GitLab, with a special emphasis on integrating MATLAB processes. I also leverage Google AppScript to develop custom automation solutions that streamline key operations for our finance, purchasing, and quality teams. Grounded in a machine learning background from the University of Lille, I am proficient in Python, SQL, and a range of development technologies.

I am also currently collaborating with the INRAE lab in Bordeaux to analyze the social behaviors of lab mice including sniffing, freezing, exploring and splashing. This project has helped the team divide by 6 the time spent on analyzing their videos manually.

Feel free to connect with me so that we can start working together !

See you soon,

Quentin

Domaines d’expertise

Langues

Anglais
Bilingue ou natif
Français
Bilingue ou natif
Espagnol
Capacité professionnelle limitée

Préférences en matière de lieu de travail

Accepte de travailler sur site

Bordeaux (jusqu’à 20 km)

Self-Employed
Software Engineer
BIOTECHNOLOGIES
décembre 2025 - Aujourd'hui (6 mois)
Bordeaux, France
Working with the INRAE laboratory in Bordeaux, I built a hands-on tool to automatically detect the social behaviors of lab mice. This includes detecting sniffing, freezing and exploring as well as splashing in a second project.
This project helped the team divide by a factor of 6 the time spent on manually labeling the mice behaviors during their interaction with or without other mice.
Python DeepLabCut Bash scripting Pytorch
ASCENDANCE FLIGHT TECHNOLOGIES
Ingénieur Devops
AÉRONAUTIQUE & AÉROSPATIALE
mai 2025 - Aujourd'hui (1 an et 1 mois)
Toulouse, France
Pipelines Gitlab pour automatiser des outils Matlab pour l’équipe de
logiciel embarqués
Gestion de runners Gitlab pour paralléliser le travail des équipes
Support sur des fonctionnalités Google App Scripts
Oracle Golden Gate pour faire le lien entre un PLM Aras et une base de
données SQL
Mise en place de clusters Kubernetes hébergés sur OCI
Gitlab CI/CD Matlab AppScript JavaScript Oracle
Saft
AI Research Engineer
ENERGIE
mars 2023 - septembre 2023 (7 mois)
Bordeaux, France
I was responsible in estimating the parameters of lithium-ion battery electrochemical models using artificial intelligence.
I used LSTMs, CNNs and XGBoost on data generated using PyBaMM, a novel Python package that generates synthetic data of a battery’s life cycles.
I collaborated with chemists to better understand the task at hand.
Python Jupyter CNN XGBoost PyBaMM