European Space Agency (The Netherlands)
Project: Lunar Rover Traversability Analysis.
Tech: Conformal Prediction & Geometric Fusion.
Polytechnique Montréal (Canada) - GPA 4/4 Ranked
1st
Theorical and Applied AI, Natural Language Processing, Reinforcement
Learning, Programming, Mathematics.
Mines Saint-Étienne (France) - GPA 4/4 Ranked
1st
Computer Systems, Robotics, Artificial Intelligence, Electronics,
Cryptography, Signal Processing, Languages.
Head of Investment & Quantitative Strategy
Leading a team of 20 analysts managing $130k+ using AI and
quantitative analysis to optimize portfolio.
Engineering advanced NLP and ML pipelines to extract and analyze financial insights from unstructured data for asset management.
Montréal, CanadaImplemented uncertainty quantification and image segmentation methods to enable rovers to navigate autonomously on Mars under ambiguous terrain.
Noordwijk, NetherlandsDesigned Transformers and attention mechanisms for uncertainty and risk quantification using Ensemble techniques and Bayesian methods.
Paris, FranceConducted an in-depth study of immersive technologies (VR, AR, MR) on their principles and future applications for defense and civilian use.
Paris, France
MPSI / MP*
Computer Science
Artificial Intelligence
My academic journey is defined by a dual focus: mastering the theoretical foundations of mathematics and computer science in France, and applying them to cutting-edge research in Artificial Intelligence and Robotics in Canada.
Interactive mineral exploration tool using TensorFlow for real-time rock identification and sustainability mapping (Flask, MongoDB, Streamlit).
Real-time financial platform powered by AWS and LLMs for portfolio optimization, sentiment analysis, economic synthesis, and board profiling.
Development of conversational agents, QA systems, and dependency-based parsing using neural networks and probabilistic models.
Diverse RL projects: from Tabular (MDP, Sarsa) to Deep RL (SAC, TD3, Rainbow). Implementation of Actor-Critic, Policy Gradients, and Model-Based architectures.
Python-based market analysis focusing on portfolio optimization, strategy backtesting, and metrics computation (Sharpe, Alpha, Beta).