Emanuele Nicotra
Robotics and machine learning researcher/engineer focused on building surgical and robotic systems end-to-end—from hardware and sensing to real-time control and AI deployment.
About
Robotics and machine learning researcher/engineer focused on building surgical and robotic systems end-to-end—from hardware and sensing to real-time control and AI deployment. I develop vision-based localization and tracking, and implement safe, stable control strategies for real-world environments.
I’ve contributed across the full ML/robotics stack: publishing research, building simulation pipelines (ROS, Gazebo/IsaacSim/SOFA/CoppeliaSim), and engineering production-ready AI inference for mobile clients with backend systems. I enjoy modular software architecture, reusable components, and rigorous validation from simulation through deployment.
- 5 years' experience
- Joined July 2026
Industry experience
- Healthcare
- Computers & Electronics
- Software & Internet
- Professional Services
- Manufacturing
Work experience· 6 roles
Built and deployed AI-powered mobile applications integrating on-device and backend ML inference. Designed scalable inference pipelines connecting mobile clients to production ML systems. Improved development velocity by introducing modular architecture and reusable components.
Integrated a TensorFlow frontend into the Ivy stack to enable unified execution across TensorFlow, PyTorch, and JAX. Extended backend-agnostic abstractions to improve interoperability across ML frameworks.
Built a surgical robot from scratch, covering robot design, hardware, sensors, and the control system. Produced results published in peer-reviewed journals and conferences.
Education
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