MEng in Computer Science student (ISIMA - France)
MSc in Applied Mathematics & Statistics (UCA - France)
I work at the intersection of:
- Machine Learning systems
- Mathematical modeling
- Numerical computing
- Performance-aware engineering
- Fraud Detection Pipeline — end-to-end supervised ML workflow on 248k+ transactions, feature engineering, imbalance handling, benchmarking (RF / XGBoost / CatBoost), FastAPI inference service
- Sibyllium (Data Scientist) — time-series forecasting components, structured multi-horizon evaluation, feature-driven modeling
- Time-Series Forecasting — ARIMA / LSTM baselines with evaluation on trend and correlation metrics
- CUDA Numerical Linear Algebra — batched eigenvalue computation (Householder + QL), GPU/CPU performance trade-offs
- Parallel Computing — OpenMP / performance reasoning / memory access patterns
- Numerical Simulation & Optimization — structured implementations (ADMM, ISTA, FISTA)
- Survival Analysis — Kaplan–Meier, Cox models, statistical interpretation
- Black–Scholes & Option Pricing — stochastic modeling, Greeks, numerical comparisons
- Physics-Informed Neural Networks — PDE-constrained learning via automatic differentiation
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Engineering Degree — ISIMA
Specialization: Data Science, Optimization & AI
(2022 – Present) -
MSc Applied Mathematics & Statistics — UCA
Probability, statistics, stochastic processes
(2025 – Present) -
BSc Mathematics — UCA
(2022 – 2023) -
CPGE MPSI/MP
Intensive mathematics & physics training
(2019 – 2022)
This profile highlights selected work only.