Collaboration with the Deep Generative Models lab of Sony, Tokio, in the proof of bounds of Consistency Trajectory Models loss. Keywords: GenerativeAI, Reinforcement Learning, MCMC methods

Keywords: Transformer, Computer Vision, Privacy-Preserving models.

• Worked on tissue classification for cancer detection, achieved comparable results to SOTA methods
• Digged in Survival analysis and image segmentation

• Designed and created an ML pipeline in Python from the ground up: data preprocessing, feature engineering, and model selection to and the best geometrical and physical parameters of a new generation of drill-bits in order to optimize their performance
• Researched and implemented the Bayesian Additive Regression Trees model to improve previous models for a crucial dataset of the company, leading to a similar level of accuracy but providing a measure of model uncertainty. Presented the results to the Technical DS Exchange & Community, a Hilti forum to share the most exciting results of the quarter
• Performed data analysis in one of the key manufacturing processes. Identified and developed different use cases that helped the company improve lot quality and refine manufacturing process

• Designed and built an SQL-based Grafana server to control the main manufacturing process KPIs. Ideated and implemented machine learning algorithms to predict future failures leveraging time series models
• Revamped an R program originally designed to control the leak test, re-enabling the company to instantly measure possible leakings, leading to a time reduction of 5 man-hours per week and an improvement in output robustness
• Upgraded the main C# application that controlled the manufacturing process, reducing computing time by 8%

ECTS Credits: 120 Courses taken:

• Fundamentals of Mathematical Statistics
• Advanced Machine Learning
• Big Data
• Machine Perception
• Medical Image Analysis
• Machine Learning for Healtcare
• Randomized Algorithms and Probabilistic Methods
• Probabilistic Artificial Intelligence
• Seminar in Advanced Topics in Human-Centered Models

Teaching Assistant of Complex Analysis under Prof. Emmanuel Kowalski

ECTS Credits: 25 GPA: 5.85/6
Best student of class.

ECTS Credits: 240 GPA: 8.5/10
Excellent with honours in:

• Mathematical Models and Dynamical Systems
• Probabilities
• Algebraic Equations

Final project (18 ECTS): "Local connectivity of Julia sets".

Excellent with honours.GPA: 9.3/10
Excellence Scholarship: First Class Honors.

Connected with the IACR (The International Association for Cryptologic Research) Privacy-Preserving Machine Learning (PPML) community, where I learned about the latest research in the field of privacy-preserving machine learning.

Got accepted into a Mentorship program funded by AWS to connect with promising youngsters and learn how AWS uses technologies such as Reinforcement Learning in production.

Played a key role in the Hack4Good event organized by the Analytics Club, where helped the NGO WWF to develop an application that automatically detects construction proposals that could negatively impact surrounding natural environments using data analysis and machine learning techniques

Summer school sponsored by Modl.ai where experts from big technology companies explained the current state of cutting-edge techniques of Artificial Intelligence and Reinforcement Learning in games. Awarded with the AWS Game Tech Scholarship

International teamwork competition for selected students interested in entrepreneurship and design thinking consisting of a one-week retreat to design a solution to a real-life problem. Designed a product to educate the Jobsite workers in the use of new technologies: Doors & Windows