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MSc AI @ CentraleSupélec | TensorFlow Certified | Computer Vision | Deep Learning

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Recent Work

Pinned

Heartbeat Prediction

MAE: 7.42 BPM

Deep learning LSTM model achieving 7.42 BPM MAE - 17% better than V1. Predicts heart rate from speed & altitude for runners training for sub-3h marathons. Full pipeline on Hugging Face.

PyTorchLSTMHugging FaceTime Series
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X-ray Bounding Box Detection

11/2023

Keras CNN model for detecting objects in X-ray images and drawing bounding boxes around them.

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Defect Detection with Heatmaps

04/2023

Object detection system to identify casting defects with visual heatmap overlays.

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Microstructure Classification

01/2023

YOLO-based system for automated Martensite/Pearlite identification in steel samples with Flask deployment.

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Skills & Tools

Image Classification

Object Detection

Deep Learning & MLOps

All GitHub and Hugging Face Projects

Personal projects I built for fun and educational work from my MSc AI at CentraleSupélec

3.21× faster

Physics-Informed Neural Networks

Conditional PINNs solving 2D heat diffusion with systematic comparison of CNN vs MLP vs PINN architectures.

PyTorchPhysics-MLNumPy

Steel Microstructure Classification

YOLO-based system for automated Martensite/Pearlite identification in steel samples with Flask deployment.

TensorFlowYOLOFlaskOpenCV
MAE: 7.42 BPM

Heartbeat Prediction

Deep learning LSTM model achieving 7.42 BPM MAE - 17% better than V1. Predicts heart rate from speed & altitude for runners training for sub-3h marathons. Full pipeline on Hugging Face.

PyTorchLSTMHugging FaceTime Series

Vampires vs Werewolves AI

Strategic game AI using Alpha-Beta pruning with smart move filtering. Production ready!

PythonAIGame Theory

Pfizer Territory Optimization

Multi-objective optimization for sales territory assignment using NSGA-II and Simulated Annealing.

PythonNSGA-IIOptimization

Formula 1 Data Analysis

Formula 1 data analysis and visualization exploring race strategies and performance metrics.

PythonPandasPlotly

About Me

Background

From the foundry floor to neural networks. Spent 3 years at Howmet Aerospace developing gas turbine components, where I saw firsthand how quality issues impact production. This experience drives my passion for AI-powered manufacturing solutions.

Education

Currently pursuing MSc in AI at CentraleSupélec, one of France's top engineering schools. Specialized in materials characterization through deep learning: YOLO-based systems, CNNs for defect detection, and Physics-Informed Neural Networks achieving 3.21× performance improvement.

What's Next

Upcoming internship at SAFRAN TECH POLE focusing on microstructure prediction. Looking for AI/ML opportunities in aerospace, manufacturing, and materials science. Franco-Italian, fluent in 🇮🇹🇫🇷🇬🇧 (TOEIC 910) + 🇪🇸🇯🇵.

TensorFlow

Google Certified

Deep Learning

DeepLearning.AI

ML Engineer

Google Cloud (8/12)