Experience In industry
R&D Machine Learning Engineer
PNB Paribas Innovation Lab
New York, USA
Natural Language Processing (NLP) for clause extraction and question answering in legal documents, benchmarking of both pre-trained and legal specific word representations for text classification and question answering tasks.
Computer Vision for Semantic Segmentation of PDFs (implementation of a Fully Convolitional Neural Network).
Research and Teaching experience
University of Bordeaux.
In charge of Introduction to Programming in Python (4TPM101U) and Development of Pyhton Applications (4TPM110U).
Reinforcement Learning Intern
Supaero RL Initiative (SuReLI)
Reinforcement Learning applied to control the wing sail of an autonomous sailboat (stall avoidance and control of systems with hysteresis).
In Charge of Analyitcs II as well as Physics II.
PhD in Computer Sciences
University of Bordeaux
Grounded Language Learning.
Intrinsically motivated Reinforcement Learning.
Language as a tool to enhance learning and reasoning in autonomous agents.
MSc in Machine Learning
Major in Decision and Data Sciences - Minor in Autonomous Systems & Robotics
MSc in Mechanical Engineering
Major in Computational Fluid Dynamics - Minor in Computational Sciences
BSc in Mechanical Engineering
First and second year at EPFL.
Third year of BSc as an ERASMUS student in DTU Denmark
General:Python, Java and C++
High Performance Computing:Bash, Slurm, Docker
In my free time, I love to play music (saxophone and guitar), watch football games with friends and ride my bike in the city. Sportwise I snowboard during winters and occasionally surf during summer.