Summary
Damien Bouet is an AI research engineer specializing in deep learning for computer vision, currently developing fingerprint analysis and recognition models at IDEMIA Public Security. With a strong academic foundation from CentraleSupélec and ENS Paris-Saclay (MVA), he blends practical production skills—ONNX/TensorRT model export and GPU-optimized inference—with cutting-edge research on Vision Transformer trackers and end-to-end video tracking. His background spans applied projects from 3D dental scan segmentation to anomaly detection in time series and conformal prediction contributions in scikit-learn-contrib, reflecting versatility across medical, security, and industrial domains. Comfortable moving models from cluster training (PyTorch, Slurm) to field-constrained deployments, he pairs rigorous math training with hands-on pipeline engineering.
2 years of coding experience
Master's double degree, MVA (Mathémariques Vision et Apprentissge), Master's double degree, MVA (Mathémariques Vision et Apprentissge) at ENS Paris-Saclay
Engineering Degree, Mathematics and Data Science, Engineering Degree, Mathematics and Data Science at CentraleSupélec
KTH Royal Institute of Technology
MPSI/MP* - Classes préparatoires aux grandes écoles, MPSI/MP* - Classes préparatoires aux grandes écoles at Lycée Pasteur
Baccalauréat scientifique, mention très bien, Baccalauréat scientifique, mention très bien at Lycée Montalembert Courbevoie