Curriculum vitae

Profile

I am an AI Architect and AI Engineer with deep expertise in NLP, Generative AI and scalable machine-learning systems. My work focuses on multi-agent systems, and I am particularly interested in Local AI and open-source models. I design and deploy end-to-end AI solutions, lead engineering teams and turn complex business challenges into reliable products. My experience spans insurance, banking, technology, agriculture and academic research. Before working in industry, I earned a PhD in Physics of Complex Systems, researching computational methods for socio-economic sciences. I am fluent in Italian, Portuguese, and English.

Employment

AI Architect — Reale Mutua

Turin, Italy · October 2025–Present

I design and develop end-to-end AI and machine-learning solutions aligned with business goals, while coordinating and supporting engineering teams.

Focus and technologies: AI solution architecture, NLP, Generative AI, Computer Vision, Machine Learning, PyTorch, Unsloth, team coordination, Databricks and Azure.

Data Science Specialist — Reale Mutua

Turin, Italy · July 2022–October 2025

I designed, developed and deployed AI solutions on Azure, focusing on unstructured data, NLP and deep learning.

Technologies: Generative AI, Azure Machine Learning, Databricks, LangGraph, LangChain, Python, Docker, PyTorch, Hugging Face and spaCy.

Data Science Specialist and Machine Learning Engineer — Self-employed (FraleAnalitica)

Turin, Italy · January 2021–Present

FraleAnalitica began as a project with a friend to apply machine learning and deep learning to agriculture, particularly beekeeping. As a technology consultant, freelance data scientist and machine learning engineer, I develop, deploy and maintain AI services for agricultural applications. See the HonAI project and FraleAnalitica.

Technologies: Azure, MLOps, Machine Learning, Deep Learning, FastAPI, Docker and Python.

Data Scientist and Machine Learning Engineer — INDA (Intervieweb, Zucchetti Group)

Turin, Italy · March 2021–July 2022

I developed, deployed and maintained AI solutions, focusing on NLP and deep learning.

Technologies: AWS EKS, AWS ECS, AWS Lambda, Amazon SageMaker, Python, Docker, Kubernetes, FastAPI, Elasticsearch and MongoDB.

Data Science Specialist — Samsung SDS

São Paulo, Brazil · November 2020–March 2021

I developed and deployed propensity, churn, sentiment-analysis and RFV models for CRM.

Technologies: Data lakes, HDFS, Brightics, Adobe Campaign, Python, Scala, Docker, Spark and PySpark.

Data Scientist, DataLab — Santander Bank

São Paulo, Brazil · August 2019–July 2020

I developed machine-learning models to support personal-loan pricing.

Technologies: Data lakes, Hadoop, Cloudera, Python, Scala, SQL, Hive, Impala, Spark, PySpark and Oracle.

Data Scientist — Santander Bank

São Paulo, Brazil · December 2018–August 2019

I developed CRM models for propensity and churn prediction, as well as customer segmentation. I used supervised methods, including random forests, gradient boosting, logistic regression and neural networks, and unsupervised methods such as hierarchical clustering, k-means and DBSCAN.

Technologies: Data lakes, Hadoop, Cloudera, Python, R, Scala, SQL, Java, shell scripting, Hive, Impala, Spark, PySpark and Oracle.

Education

PhD in Physics (Complex Systems)

Federal University of Ceará · February 2015–December 2018

Thesis: Computational analysis for socio-economic sciences. — Read thesis

Visiting PhD Researcher in Complex Systems

  • City College of New York · April–June 2018
  • Sapienza University of Rome · April–September 2017

MSc in Physics (Complex Systems)

Federal University of Ceará · July 2014–January 2015

Thesis: Interpolation strategy based on Dynamic Time Warping. — Read thesis

BSc in Physics

University of Turin · September 2009–October 2012

Thesis: Monte Carlo simulation of radiation from a CT scanner for radiation protection.

Technical skills

  • Machine learning and deep learning: LangGraph, LangChain, PyTorch, Unsloth, Hugging Face, OpenAI, Azure AI services, MCP, A2A and spaCy
  • MLOps: FastAPI, Kubernetes, Docker, Git, Typer, Pydantic, Poetry, uv, GitHub Actions and Azure Pipelines
  • Cloud: Azure, Azure Machine Learning, Azure DevOps, Azure Container Apps, Databricks, AWS ECS, AWS EKS, AWS Elastic Beanstalk and Amazon SageMaker
  • Data analysis: Python (Jupyter, pandas, NumPy, statsmodels), Scala, SQL, Spark, PySpark, Hadoop, Hive, Impala and Excel
  • Data visualization: Matplotlib, Seaborn, Plotly, Streamlit, Grafana, Gephi and QGIS
  • Databases and storage: MySQL, PostgreSQL, HDFS, Elasticsearch and MongoDB
  • Other programming languages: Java, C++, Bash and Rust (learning)
  • Operating systems: Linux (Arch Linux, Debian and Ubuntu), macOS and Windows
  • Languages: Italian (native), Portuguese (fluent) and English (fluent)

Publications

  1. Dynamics of racial segregation and gentrification in New York City. Frontiers in Physics, 2022. — Read paper
  2. Dynamics in the Fitness-Income plane: Brazilian states vs World countries. PLOS ONE, 2018. — Read paper
  3. The light pollution as a surrogate for urban population of the US cities. Physica A, 2018. — Read paper
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