Experience

  1. Co-Founder & CTO — Robotics & ML Engineer

    TalOS Robotics AI
    • Co-founding an early-stage humanoid & general legged-robotics startup: software that lets operators train, deploy, and interact with robots through human feedback.
    • Advancing Vision-Language-Action (VLA) policies so robots learn a library of skills and select the right one per task, generalizing across diverse industrial jobs.
    • Building an MCP (Model Context Protocol) app that wraps training, deployment, and human-in-the-loop feedback as agent-callable tools — lowering the skill barrier for non-experts.
    • Owning the robotics/ML stack: humanoid simulation (MuJoCo, Isaac Sim), ROS 2 integration, LLM/agent-driven control, and the dashboard tooling around it.

  2. Perception & Control Engineer — Robotics Software Engineer

    AEA — Automation Engineering Association, Politecnico di Milano
    • Co-developing an autonomous drone platform for GPS-denied environments.
    • Built an EKF fusing IMU, GPS, barometer, magnetometer, and stereo visual odometry (ORB-SLAM3), deployed on NVIDIA Jetson Orin Nano.
    • Developed an MPC-based path planner (CasADi); validated in Gazebo Harmonic with ROS 2 and deployed on Pixhawk/PX4. Leading bring-up from simulation to real-world flight.

  3. Robotics Challenge Participant — Leonardo Drone Contest

    AIRLab, Politecnico di Milano (Leonardo S.p.A.)
    • Autonomous navigation of a mobile robot and a drone in environments with known and unknown obstacles, reaching targets while detecting ArUco markers and objects.
    • Implemented planning algorithms via ROS 2 actions for mission-critical tasks; built a YOLO + OpenCV QR/object detector robust to noisy, blurred frames.
    • Supported a PTZ camera system whose decoded payloads feed contextual information to the robot and drone for dynamic task adaptation.

Education

  1. MSc Automation and Control Engineering — Robotics & ML

    Politecnico di Milano
    Robotics & ML track (120 ECTS). Coursework: Perception, Localization & Mapping for Mobile Robots; Advanced Multivariable Control; Numerical Optimization for Control; Aerial Robotics; Artificial Neural Networks & Deep Learning; Reinforcement Learning; Model Identification & Data Analysis; Dynamics of Mechanical Systems.
    Download CV

  2. BSc Automation Engineering

    Politecnico di Milano
    Foundations in mechatronics, robotics, control theory, electronics, computer science, and automation systems (180 ECTS).
Skills & Hobbies
Programming
Python
C++
C
Java
ML & Physical AI
PyTorch
VLA / Imitation Learning
Reinforcement Learning
ACT (Action Chunking)
OpenCV
LLM / Agents (MCP)
Robotics & Control
ROS 2
Isaac Sim
MuJoCo
CasADi / MPC
PX4 / Pixhawk
ORB-SLAM3 / SLAM
Docker / Linux
Awards
YC Robotics Hackathon — MoonBot
Y Combinator (NASA, DeepMind, Scale AI) ∙ May 2026
Built an edge-first autonomous robot for inspection/intervention in space-like environments.
1st-Author Publication — IEEE ICRA 2026 Workshop
IEEE ICRA 2026 ∙ January 2026
Bayesian Optimization for Learning Nonlinear MPC in Autonomous Agent Navigation.
4th / 170 — Histopathology Image Classification Challenge
Politecnico di Milano — ANN & Deep Learning ∙ December 2025
Ranked 4th of 170 teams on a hidden test set with a RetCCL-pretrained ResNet-50 transfer-learning pipeline.
Languages
100%
Italian Native
80%
English C1 / B2
60%
Spanish B1