Sytem R&D Engineer, Leonardo Spa, Italy
Atomistic simulations · Enhanced sampling · Machine learning · Forecasting · CRM · Signal Detection
Sytem R&D Engineer, Leonardo Spa, Italy
Atomistic simulations · Enhanced sampling · Machine learning · Forecasting · CRM · Signal Detection
Nicolo Pedrani — Data Scientist and System R&D Engineer focused on machine learning, computer vision, and infrared optical systems. I work at the intersection of research and applied engineering to deliver robust solutions in both business analytics and defence technology.
Current role: System R&D Engineer at Leonardo SpA. Core activities include system requirements engineering, design reviews (SRR/PDR/CDR), developing tracking and optical-flow algorithms, and building simulated test environments for IR systems.
Previously I worked as a Data Scientist at Deloitte Consulting where I contributed to forecasting, customer segmentation, recommendation systems, and BI dashboards. My background also includes research experience (Ph.D. year) in atomistic simulations and enhanced sampling techniques.
Outside work I coached and played professional football (AC COMO), love travelling and reading, and I enjoy building creative technical projects.
To learn more, you can either download my CV or explore a hands‑on, interactive portfolio I built: MyImmersiveExperience.
The interactive site includes an optional in‑browser chat that simulates a conversation with me using a small language model; the model references my CV to provide answers and context.
Explore more:
The interactive experience runs on both mobile and desktop browsers. For the best experience when using the in-browser SLM chat (transformers.js), desktop is recommended due to device/browser compatibility and performance limitations on some mobile devices.