Summary
Brieg Oudea is a Machine Learning Engineer based in Paris with 8 years of experience applying ML and deep learning to high-impact domains including neuroscience and the space industry. He designs and ships end-to-end models—from GAN-based data augmentation for combustion chamber simulations and LBM sensor imputation to seizure-prediction models trained on intracerebral EEG—bridging research-grade experimentation and production constraints. Comfortable with NLP, CV, and time-series work, he has delivered practical tooling for document similarity, OCR from video, and product classification in commercial settings. His background spans cybersecurity incident response to academic mechatronics, giving him a pragmatic, systems-oriented view of data pipelines and operational risk. Notably, he collaborates with clinicians and professors to translate complex neurophysiological signals into actionable predictive insights minutes before epileptic events, reflecting a rare blend of domain sensitivity and engineering rigor.
8 years of coding experience
1 year of employment as a software developer
Engineering Degree, SCIA (Data Science and Artificial Intelligence), Engineering Degree, SCIA (Data Science and Artificial Intelligence) at EPITA
Two semesters abroad, Two semesters abroad at California State University, Monterey Bay
French Baccalauréat, French Baccalauréat at Institut Notre-Dame de Saint-Germain-en-Laye -Bilingual Section