Data Scientist Computer Vision

• Jun 2023 - Present

Research Engineer Natural Language Processing

• Dec 2021 - Jan 2023

Research subject : New Deep Learning Methods for Data-to-Text and Text-to-Data Generation - built a dataset corresponding to the task and developed a language model - trained large language models to learn from unaligned corpora in a cycle framework - explored new formalisms for learning mappings from diverse sources - focused on controlled text and data generation, according to different aspects and user needs Research subject : New Deep Learning Methods for Data-to-Text and Text-to-Data Generation - built a dataset corresponding to the task and developed a language model - trained large language models to learn from unaligned corpora in a cycle framework - explored new formalisms for learning mappings from diverse sources - focused on controlled text and data generation, according to different aspects and user needs

Research Intern

• Apr 2021 - Sep 2021

Internship subject : High Performance Generative Adversarial Network (GAN) for Optimized Monte Carlo Simulations - developed and trained GANs associated with a Monte Carlo-based simulator - implemented different types of GANs on CPU and GPU architectures using PyTorch library - obtained a model that generates trajectories as accurate as a large Monte Carlo simulation but faster - applied the developed model to the Backward Stochastic Differential Equations Internship subject : High Performance Generative Adversarial Network (GAN) for Optimized Monte Carlo Simulations - developed and trained GANs associated with a Monte Carlo-based simulator - implemented different types of GANs on CPU and GPU architectures using PyTorch library - obtained a model that generates trajectories as accurate as a large Monte Carlo simulation but faster - applied the developed model to the Backward Stochastic Differential Equations