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FV Francesco Vigni
Francesco Vigni

Hi, I'm Francesco 👋 · High-Tech Artisan

I find out when the model is wrong.

PhD engineer and researcher. I work on medical-imaging foundation models, robots on factory floors, and the infrastructure that keeps both running in production. Whether it starts as a research question or a production problem, the work is the same.

FV Francesco Vigni

Ten years, research & industry

  • Univ. Naples Federico II
  • Univ. Siena
  • TU Wien
  • TU Munich
  • Disney Research
  • Roboception
  • Marie Skłodowska-Curie Fellow

What I do

Three areas, one throughline: getting AI to production.

AI / ML Research

Foundation models for medical imaging (self-supervised ViT, distributed training), reproducible evaluation, and a defined path from research to clinical validation.

Robotics & Edge

ROS2 navigation and perception, real-time inference on NVIDIA Jetson, and industrial systems deployed commercially across multiple countries.

DevOps & Infrastructure

Self-hosted single-node Kubernetes (k3s) with Helm, health-gated reversible delivery, CI/CD, and hands-on production incident debugging.

Selected work

Evidence, not slideware.

AI / ML Research

Foundation Model for Gastroenterology Imaging

SSL pretraining strategy and cloud data pipeline for a ViT foundation model on 5M+ gastrointestinal video frames.

  • Self-Supervised Learning
  • PyTorch
  • Medical Imaging

Robotics & Edge

Edge AI Occupancy Monitoring System

Real-time people tracking and zone-based automation running on NVIDIA Jetson at the edge.

  • NVIDIA Jetson
  • Computer Vision
  • PyTorch

Robotics & Edge

Autonomous Navigation for an Industrial Cleaning Robot

An indoor autonomous navigation stack for a commercial ride-on floor scrubber.

  • ROS2
  • Nav2
  • SLAM

Research → All work →

My story

From a robotics thesis at Disney to AI in the clinic.

I studied engineering in Siena, and did my Master's thesis at Disney Research Zurich, on closed-loop control for a robot that shakes your hand, which ended up as a paper in IEEE RA-L. That set the tone for everything since: I like building things that have to work with real people, in the real world.

I spent years in Germany making that happen: autonomous mobile robots deployed across factories, and core 3D-perception and grasping software at Roboception for industrial pick-and-place. Then I went back to research for a Marie Skłodowska-Curie PhD in Naples, with secondments at TU Wien and studying how robots make their intentions legible to people.

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