Résumé
- Computer Vision researcher with 3 years of research experience in deep learning for object
detection/tracking and 3D scene understanding.
- Former Lead Fullstack & DevOps/MLOps engineer for large-scale real-time applications.
- Experienced collaborator in interdisciplinary projects in robotics and neuromorphic
engineering.
- Manager of 5 research projects in neuromorphic engineering.
Expériences professionnelles
Phd researcher in computer vision & deep learning
UNIVERSITY OF LILLE , Villeneuve-d'ascq
De Octobre 2020 à Aujourd'hui
- Designed innovative techniques for energy-efficient machine vision using event cameras
and bio-inspired neural networks.
- Led 5 research projects and coordinated collaboration with 2 laboratories, resulting in 2
working applications and 2 ongoing projects for 2023.
- Took part on the organization of an international research conference.
- Published 5 scientific articles as first author in international conferences/journals.
Computer vision engineer for autonomous navigation (internship)
UNIVERSITY OF LILLE , Villeneuve-d'ascq
De Mars 2020 à Août 2020
- Successfully developed a semantic segmentation algorithm using RGB-D and 3D cameras
for autonomous navigation.
- Collaborated with a research team in robotics to fit their needs
Lead fullstack & devops engineer
Hootside , Aubagne
De Septembre 2018 à Septembre 2019
- Developed, deployed, and maintained the back-end for a real-time mobile application
that uses intensive geolocation data.
- Led the backend development in the IT department.
- Elaborated efficient CI/CD practices to improve the code base.
Parcours officiels
Langues
Français - Courant / Langue maternelle
Anglais - Avancé
Compétences
Centres d'intérêt
- Théatre
- Game and Web Development
- Cycling
- Fantasy & Sci-Fi Literature
linkedin
website
github