Artificial Intelligence Engineer
Professional experience
Artificial Intelligence Engineer
Geodaisics | Sept. 2023
- Creation and implementation of the internal validation procedures of AI models.
- Creation of a shared workflow and tooling for the research team.
- Wrote and reviewed developpement procedures for the internal Quality Management System in accordance with ISO 13485 / 14971 / 62304 / …
Senior data Engineer
Marelli - Smart Me Up | July 2022 - July 2023
- Project supervision: embedded gesture recognition (precision >95%).
- Definition of data needs for the Grenoble teams.
- Responsible for the internal online data annotation tool.
- Supervision of the annotation team (12 people). Creation and supervision of the data sharing procedures.
R&D computer vision engineer
Marelli Smart Me Up | April 2020 - June 2022
- Creation and implementation of an unsupervised stereo vision algorithm.
- Creation of an internal library to standardize R&D activity on neural networks.
- Features: automated code standards, unit testing, web visualization of results, reproducibility.
- Technology watch on computer vision. Algorithms adapted: SwAV, Mean teacher, depth estimation, transformer.
Assistant professor in Statistics
Ecole Polytechnique Fédérale de Lausanne | Sept. 2016 - April 2020
- Neurips 2016 AABI workshop Disney Research Paper Awards awarded for: Expectation Propagation performs a smoothed gradient descent, G. Dehaene.
- Creation and implementation of a method to validate the results of a Bayesian statistical analysis
- Supervision of one PhD. and three master theses.
Skills
Computer science
- Python (expert): django, pytorch, tensorflow
- Rust
- Javascript
- HTML, CSS
- git
- Docker
- Linux admin
Management
- Agile project management
- R&D supervision
- CI / CD
Artificial Intelligence
- Neural networks
- Computer vision
- Statistical theory
- Bayesian statistics
Languages
- French (native)
- English (Bilingual)
Education
Ph.D. in neuroscience and statistics
Université de Genève, Université Paris- Descartes
2012-2016
Ecole Polytechnique engineer diploma
Ecole Polytechnique Paris
2008-2012
Master in Cognitive Science
ENS-Paris, EHESS, Université Paris-Descartes
2011-2012
Publications
A deterministic and computable Bernstein-von Mises theorem
G. Dehaene, 2019
Presented at: Séminaire BIG (Grenoble), Séminaire de Statistique de Berne
Expectation Propagation in the large data limit
G. Dehaene and S. Barthelmé, 2018
Journal of the Royal Statistical Society - Series B
Presented at: Séminaire BIG (Grenoble), Séminaire de Statistique de Genève
Expectation Propagation performs a smoothed gradient descent
G. Dehaene, 2016
Advances in Approximate Bayesian Inference NeuRIPS workshop
NeurIPS AABI Workshop 2016 Disney Research Paper Awards
Bounding errors of Expectation-Propagation
G. Dehaene and S. Barthelmé, 2015
NeurIPS 2015
Hobbies
- Judo
- Bandes dessinées
- Competitive coding: Advent of code