Profile

Hi, I'm Roberto

I spawned in this universe back in 2000 with a singular purpose: to contribute to the realm of scientific research as a Computer Scientist.

java Java
py Python
c C
r R
js JavaScript
ts TypeScript
spring Spring
fastapi FastAPI
react React
mysql MySQL
redis Redis
mongodb MongoDB
git Git
docker Docker
kubernetes Kubernetes
nginx Nginx
gcp Google Cloud Platform
bigquery Google BigQuery
pandas Pandas
sklearn scikit-learn
tensorflow TensorFlow
opencv OpenCV
mlflow MLflow
airflow Airflow
java Java
py Python
c C
r R
js JavaScript
ts TypeScript
spring Spring
fastapi FastAPI
react React
mysql MySQL
redis Redis
mongodb MongoDB
git Git
docker Docker
kubernetes Kubernetes
nginx Nginx
gcp Google Cloud Platform
bigquery Google BigQuery
pandas Pandas
sklearn scikit-learn
tensorflow TensorFlow
opencv OpenCV
mlflow MLflow
airflow Airflow
java Java
py Python
c C
r R
js JavaScript
ts TypeScript
spring Spring
fastapi FastAPI
react React
mysql MySQL
redis Redis
mongodb MongoDB
git Git
docker Docker
kubernetes Kubernetes
nginx Nginx
gcp Google Cloud Platform
bigquery Google BigQuery
pandas Pandas
sklearn scikit-learn
tensorflow TensorFlow
opencv OpenCV
mlflow MLflow
airflow Airflow

This is me

About

I enjoy solving complex problems and learning new technologies to enhance my skill set.

  • Summary: AI Software Engineer experienced in designing, developing, and deploying real-world AI systems for aerospace and industrial applications. Experienced across the entire AI software lifecycle, transforming complex data into scalable AI software solutions.

    Technologies: Java, Python, JavaScript, Spring Boot, FastAPI, SQL, Redis, MongoDB, Git, Docker, Kubernetes, Google Cloud Platform, BigQuery, Pandas, scikit-learn, TensorFlow, OpenCV, MLflow, Airflow

  • Master of Science in Computer Science

    University of Insubria

    Oct 2024 – Dec 2026

    Varese, Italy

    • Thesis: Development of an Industrial AI-Based Software for Risk Estimation of PCBs in Space Manufacturing

    Bachelor of Science in Computer Science

    University of Insubria

    Oct 2020 – Feb 2024

    Varese, Italy

    • Thesis: Apply Machine Learning for Stress Detection in Office Work Environments
  • AI Software Engineer

    Motus ml

    Oct 2024 – Mar 2026

    Milan, Italy

    • Developed machine learning and data-driven software solutions for industrial applications in the Space Economy and Advanced Manufacturing sectors.
    • Contributed to 3 industrial projects, progressing from full-stack software development to data science and end-to-end AI engineering.
    • Implemented Python-based REST APIs (Flask) and Dockerized microservices to build production-ready software systems integrating ETL pipelines and AI models for customer on-premise environments.
    • Designed and developed an AI-driven defect prediction system for ESA-regulated manufacturing environments, generating thousands of component-level quality predictions across hundreds of PCB assemblies as part of my industrial Master’s Thesis in collaboration with the R&D team.
    • Deployed the solution in customer environments, enabling predictive quality assessment before production and reducing defect analysis time from months to days.

    Data Scientist Intern

    University of Insubria, DiSTA Department

    Oct 2023 – Jan 2024

    Varese, Italy

    • Conducted a machine learning research project in the Biomedical domain by investigating unsupervised approaches for stress detection using HRV data.
    • Gained experience in formulating research questions, reviewing the state of the art and related literature, and reproducing published experiments.
    • The project served as the foundation of my research Bachelor’s Thesis, conducted under the supervision of a university researcher.
Resume

Enjoy my work

Projects

Explore a collection of projects showcasing my skills and contributions.

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Let's get in touch

Contact me

Have a question or a project in mind? Feel free to reach out.