2048 — C++ Implementation
Recreated the 2048 puzzle with a clean, testable core engine (state, compression/merge, scoring), deterministic seeding, undo, and a lightweight TUI. Unit tests cover chains, no-move states, and spawn logic.
Wassim Mazouz
I am a graduate engineer from Centrale Lyon, specialized in Mathematics and Risk Engineering (MIR). In parallel, I completed the GRAF program in Quantitative Finance at ISFA.
Most recently, I was an AI & Quantitative Research Intern at BNP Paribas Global Markets – Data & AI Lab in Frankfurt, where I developed deep learning models for hedging with high-frequency financial data and collaborated with traders to adapt advanced research to market conditions.
Previously, I worked as a Machine Learning Research Intern at ENS Lyon within the OCKHAM team, contributing to benchmarking frameworks for optimization algorithms, and as a Student Researcher at LIRIS Laboratory, where I built generative models for image synthesis using VQ-VAE and deep learning techniques.
I am passionate about applying mathematics, machine learning, and quantitative research to complex challenges across finance, data science, and technology.