About Mathieu
English
Native or bilingual
Spanish
Fluent
French
Native or bilingual
Japanese
Basic
Experience
- bnpparibasData Scientist (NLP researcher)TECHMarch 2022 - September 2022 (6 months)Paris, FranceWorked on Multilingual Neural Machine Translation models :- Wrote a paper on a new domain adaptation approach for Multilintual NMT models (M2M100 & mBART50).- Build Operational Pipeline to do training of new Multilingual NMT models- Made benchmark between multilingual NMT models and bilingual NMT models.- Worked with Pytorch, bitbucket, Docker, MlFlow- worked with docker, go, Kubernetes
- MINES ParisTechResearch Intern in Deep Learning (Image & Modelisation)TECHFebruary 2021 - May 2021 (3 months)Anomaly Detection using Unsupervised Deep Learning (development made with Keras and Tensorflow)
- PropheseeMachine Learning and Computer Vision InternMECHANICAL ENGINEERINGMay 2021 - August 2021 (3 months)Ville de Paris, Île-de-France, FranceWorked on machine learning algorithms for event-based applications-Review of state of the art & evaluation metrics-Design and implementation of algorithms and machine learning methods (Pytorch),-Acquisition and cleaning of experimental datasets,-Evaluation of the developed approaches.Topics covered: Denoising (checkerboard artifacts), Alignment of Frame and Event Based Data, Disparity Estimation and Optical Flow computations.
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Education
- Master 2 (M2 - Master of Science), Data Science and Machine Learning (DAC/M2A)Sorbonne Paris2022Data Science and Mathematics Master, the master includes courses about: - Apprentissage Statistique - Advanced Machine Learning (Language model, NLP, LSTM and GRU, Transformers, Attention Module, CNN...) - Deep Learning for Image Analysis (Sift/BOW, Convolutions, Deep CNN, image detection, image segmentation, Transformers for Vision, Transfer Learning, AutoEncoders, Gans) - Reinforcement learning (Markov, TD(n), DQN, Actor Critic, PPO, TRPO, Meta Learning, Curriculum Learning...) - Machine Learning (Bayesian Machine Learning, SVM, Neural Process, Gaussian Process...) - Research in data science and Methodology - Large Scale Database
- Master In Science and Executive Engineering - Ingénieur Civil Programme Grande EcoleMINES ParisTechMachine and deep learning, computer vision, data science, app and web development, Stochastic Process, statistics, big data, information system, mechanics, Automatics.