Open-source machine learning

Applied machine learning for clinical and scientific workflows.

I build open-source tools across clinical AI, reinforcement learning, scientific computing, and LLM tooling.

01

Selected work

Three projects that show the main areas of my work.

Research application

FAIRS Roulette Player

Research application for roulette training and inference experiments. It includes a DQN agent, a PyTorch training pipeline, a FastAPI backend, a React frontend, and a Tauri desktop shell.

  • Reinforcement learning
  • PyTorch
  • React
  • Tauri
Open repository

Clinical workflow

XREPORT Radiological Reports

Client-server application for generating draft radiological reports from X-ray images. It supports dataset preparation, model training, validation, and report generation.

  • Medical AI
  • Transformers
  • FastAPI
  • React
Open repository

Scientific computing

ADSMOD Adsorption Modeling

Application for collecting, managing, and modeling adsorption data. It fits theoretical models to empirical isotherms and works with NIST and ARPA-E datasets.

  • Scientific ML
  • Python
  • RDKit
  • NIST
Open repository

02

Current focus

What I am building, learning, and looking for.

Building

Open-source ML tools for clinical research, medical imaging, reinforcement learning, computational chemistry, and LLM workflows.

Learning

Front-end development and productionizing ML with Rust.

Looking for

Collaborations involving biotechnology, healthcare, and machine learning.

Ask me about

Reinforcement learning, medical AI, or moving from biotechnology research into machine learning.

03

Background

A concise view of the path behind the projects.

Now

Senior Data Scientist & ML Engineer at Inmatica S.p.A.

Applied AI tools for clinical and scientific workflows.

Research

PhD in Engineering Sciences at the Vrije Universiteit Brussel

Worked on CheckPack, developing micro-sensors to detect food spoilage and monitor quality in real time.

Foundation

Bachelor's and master's studies in Biotechnology at the University of Genoa

Training in biotechnology, data analysis, and experimental research.

04

Toolchain

Technologies used across the projects above.

Languages

Python
Java
JavaScript
SQL
Bash

ML / DL

PyTorch
TensorFlow
Transformers
Hugging Face
LangChain

Infrastructure

Docker
Kubernetes
Linux
REST APIs
PostgreSQL

Scientific

RDKit
NumPy / SciPy
Pandas
NIST databases
ARPA-E

Workflow

Git
GitHub Actions
Jupyter
VS Code
CI/CD

Education

Biotechnology
Engineering Sciences
Experimental research
Data analysis
Open source

For collaborations and conversations.