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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.

• Designed, tested, and deployed a Decision Support System for water management, integrating heterogeneous data sources, including IoT sensors and weather data, reducing operational costs by around 50% across several companies.
• Operationalized research prototypes through reproducible ML pipelines and APIs using Python, FastAPI, MLflow, and GitLab, supporting experimentation and production deployment in collaboration with domain experts.
• Developed a PPO-based Deep Reinforcement Learning agent in a digital-twin environment combining surrogate and physics-based models for simulation and policy training.
• Developed WeatherSynth, a modular Python library for composing and benchmarking reproducible synthetic weather-generation pipelines with interchangeable generators, climate conditioners, physical constraints, and diagnostics.
• Developed a multi-agent LLM/RAG assistant using LangChain and LangGraph, integrating technical and regulatory knowledge for real-time agricultural decision support with global and region-specific recommendations.
• Built and evaluated ARIMA, XGBoost, and LSTM models for sensor time-series forecasting, achieving low prediction error through feature engineering, hyperparameter tuning, and rigorous validation.
• Developed and benchmarked a Wasserstein-based drift detector for online regression monitoring, comparing it with established methods and evaluating its applicability to sensor forecasting.
• Evaluated IoT soil-sensor behavior and anomaly-detection methods in collaboration with industry and academic partners to assess sensor quality, reliability, and suitability for practical field use.

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.

• Developed a centralized financial monitoring dashboard using PostgreSQL and Power BI to consolidate, track, and visualize key financial KPIs, supporting reporting and decision-making for a consulting client.

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.

• Analyzed national demographic data using R and SQL to uncover socio-economic trends and produce periodic reports.
• 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
• Optimization Methods II
• Sampling Techniques 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