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Machine Learning Engineer - Researcher

Fondazione Bruno Kessler (FBK)

FBK is a leading Italian research institute focused on science and technology innovation, with a strong emphasis on AI, data science, and their real-world applications across sectors including agriculture, health, and industry.

• Optimized ML pipelines and provided APIs in a research and production environment using Python, FastAPI, GitLab, LangGraph, and MLflow, while collaborating closely with domain experts to address complex problems and streamline processes.
• Designed, tested, and deployed a Decision Support System (DSS) for irrigation, integrating heterogeneous data sources, including IoT sensors and weather data, reducing operational costs by around 50% across several companies.
• Developed a Deep Reinforcement Learning agent with PPO optimization, leveraging a digital twin environment using a surrogate and a physical model for simulation and policy training, with synthetic weather data generation via KNN bootstrap.
• Developed a multi-agent LLM-based chatbot for the European AI Factories project, leveraging pre-trained models and Retrieval-Augmented Generation (RAG) to support decision-making. The system provides real-time, data-driven advice on agriculture, integrating legal guidelines and technical best practices, with support for global and region-specific recommendation models.
• Built state-of-the-art time series forecasting models for sensor trends using ARIMA, XGBoost, and LSTM neural networks, achieving around 5% prediction error through advanced feature engineering, hyperparameter tuning, and rigorous validation.

Data Scientist - Consultant

Youbidata

Youbidata is a data-driven startup specializing in business intelligence and advanced analytics, helping companies make informed decisions through customized data solutions and strategic consulting.

• Utilized Python, PostgreSQL, and Power BI for analytics and developed a centralized dashboard for financial monitoring.
• Managed an end-to-end consulting project to optimize financial operations of a company and design meaningful KPIs.

Statistician - Intern

Italian National Institute of Statistics (ISTAT)

ISTAT is the official statistical agency of Italy, responsible for collecting, analyzing, and disseminating data to support government planning, public policy, and socio-economic research.

• Processed and analyzed national demographic data using Excel, R, and SQL to uncover socio-economic trends. The analysis outcomes were leveraged to create periodic reports, offering valuable insights to support strategic decisions.
• Evaluated the Austrian quality framework's suitability for the Italian Census, achieving statistically significant results.

University and Private Tutor

Sapienza University of Rome

• Supported the study of statistics-related subjects and managed IT services.

Master of Science

Sapienza University of Rome

Statistics and Data Science

• Advanced Statistical Models
• Big Data Analytics II
• Causal Inference
• Data Management for Data Science
• Data Mining and Classification
• Machine Learning
• Management of Big Data
• Sampling Techniques II
• Optimization Methods II
• Statistical Decision Theory (Bayesian Statistics)
• Statistical Learning
• Stochastic Processes

Bachelor of Science

University of Padua

Statistics

• Applied Statistical Models
• Big Data Analytics
• Computational Statistics
• Data Structures
• Databases
• Demography
• Linear Algebra
• Mathematical Analysis I
• Mathematical Analysis II
• Multidimensional Statistics
• Optimization Methods
• Probability Theory
• Programming
• Sampling Techniques
• Social Statistics
• Statistical Models I
• Statistical Models II
• Statistics I
• Statistics II
• Time Series Analysis

Member

Mensa - High IQ Society

Blood Donor

AVIS - Associazione Volontari Italiani del Sangue