From the foundry floor to neural networks - I build AI that solves real manufacturing problems.
Spent 3 years at Howmet Aerospace developing gas turbine components, where I saw firsthand how quality issues impact production. Now pursuing MSc AI at CentraleSupélec to bring cutting-edge ML to aerospace manufacturing.
Specialized in materials characterization through deep learning: built YOLO-based systems for steel microstructure classification, CNNs for casting defect detection, and Physics-Informed Neural Networks that solve computational physics problems 3.21× faster.
🔬 Upcoming: Internship at SAFRAN TECH POLE focusing on microstructure prediction
🌍 Franco-Italian | Fluent in 🇮🇹🇫🇷🇬🇧 (TOEIC 910, IELTS 7/9) + 🇪🇸🇯🇵
📫 Looking for: AI/ML opportunities in aerospace, manufacturing, and materials science
Developed conditional PINNs solving 2D heat diffusion with 3.21× performance improvement over image-based approaches. Systematic comparison of CNN vs MLP vs PINN architectures.
YOLO-based system for automated Martensite/Pearlite identification in steel samples. Full-stack deployment with Flask.
LSTM & Transfer Learning achieving MAE: 8.94 BPM on physiological time-series data.
Strategic game AI using Alpha-Beta pruning with smart move filtering. Production ready!
Multi-objective optimization for sales territory assignment using NSGA-II and Simulated Annealing.
Formula 1 data analysis and visualization using Python, exploring race strategies and performance metrics.
- 🥇 TensorFlow Developer Certificate - Google
- 📚 Google ML Engineer Path (8/12 badges completed)
- 🎓 Deep Learning Specialization - DeepLearning.AI (Coursera)
- 🔬 Preparing for internship at SAFRAN TECH POLE (microstructure prediction)
- 📚 Advancing in Google ML Engineer Path
- 🤖 Exploring robotics control and physics-guided machine learning
- 📊 Building production-grade ML systems with MLOps best practices
- 🏃♂️ Marathon runner - trained ML models to predict heart rate during runs
- 🏎️ F1 enthusiast - analyzing race data with Python
- 🗾 Studied Japanese with 3-month immersion (100+ hours)
- 🎮 Built strategic game AI that beats human players