Valentin Goldité

Valentin Goldité is a research engineer specializing in computer vision and machine learning with experience in various roles across prominent organizations. Currently, at ONERA, Valentin is engaged as a CV Deep Learning Research Engineer on the KOIOS project, focusing on multi-modal few-shot learning for object detection. Previous internships include a role at IFP Energies Nouvelles where modeling underground facies was conducted using GAN techniques, and at Reactive Reality where Valentin implemented a deep learning algorithm for reconstructing 3D models. Additionally, Valentin contributed to a project at SYSNAV Navigation that utilized machine learning algorithms for trajectory calculations of pedestrians. Educational qualifications comprise advanced studies in machine learning and mathematics from institutions such as ENS Paris-Saclay and CentraleSupélec.