SALVATORE CINQUEGRANA

• Designed, developed, tested, and utilized 2 MATLAB applications for analyzing ship-ship and ship-aircraft collision risk
• Key activities included data processing and interpretation, risk scenario modeling, optimization of calculation algorithms, and the drafting of technical reports

• Handled customer inquiries, complaints, and returns professionally, ensuring positive experience for all clients.
• Processed transactions accurately while maintaining high level of customer service.
• Assisted customers in making informed decisions by offering detailed product knowledge and comparisons.

• Advanced Programming (Python and C++): Advanced Python for data science/ML; C++ for performance and system-level AI.
• Machine Learning Models and Algorithms: Core ML principles (supervised, unsupervised), data preprocessing. Classical ML models (regression, classification, trees, SVM, clustering).
• Deep Learning: Deep neural networks (CNNs, RNNs).
• PyTorch: PyTorch for building, training, and deploying deep learning models.
• Computer Vision: Image processing, feature extraction, object detection using deep learning.
• Reinforcement Learning: RL theory and algorithms (MDPs, dynamic programming, deep RL).
• Generative AI: Generative models (VAEs, GANs, diffusion).
• MLOps: Deployment and management of ML models in production (CI/CD, monitoring, docker).
• Explainable AI (XAI): Techniques for interpreting ML model decisions: SHAP, PDP, ALE, GAM, EBM, KAN.

L-30 Degree in Physical Sciences and Technologies

• Classical Mechanics
• Quantum Mechanics
• Electromagnetism
• Thermodynamics
• Statistical Mechanics
• Advanced Math for Physics
• Electronics lab
• Thesis: Is it possible to measure displacement from seismic moment through the number of earthquakes?

• Organic chemistry
• Analytical chemistry
• Industrial chemistry