NP Nicolò Pedrani

R&D Engineer · Milan, Italy

Engineering real-time vision systems from research-grade models.

I work on computer vision, performance optimisation and infrared sensor systems, with a background spanning computational physics, applied machine learning and end-to-end data products.

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Nicolò Pedrani

Physics-led thinking.
Production-minded engineering.

Current focus Real-time computer vision

Engineering domain Infrared sensor systems

Research foundation Computational physics

Experience

From algorithms to operational systems

A path from scientific modelling to data products and real-time engineering, with a consistent focus on turning complex analysis into dependable software.

Dec 2023 — present

Milan, Italy

R&D System Engineer

Leonardo S.p.A.

Primary role

I develop and optimise real-time computer vision algorithms for threat detection and declaration, analyse stakeholder needs and system requirements, and contribute to the design of infrared sensor systems.

Reference programme

MAIR · Multiple Aperture InfraRed

Within the MAIR programme, my focus is algorithm development, runtime performance and code optimisation on target computing platforms. Product context is available from Leonardo; programme specifications and non-public implementation details are intentionally excluded here.

View the official MAIR overview
  • C++
  • MATLAB
  • Simulink
  • Computer vision
  • Signal processing
  • System design

May 2026 — present

Lugano, Switzerland

Data Assistant

EOC · IOSI Prostate Cancer Group

Part-time

I clean and organise databases and develop interactive tools for data entry and the visualisation of statistical analyses, supporting a clear and reliable workflow from structured data to usable insight.

  • Python
  • JavaScript
  • SQL
  • Vercel
  • Data cleaning
  • Data visualisation

Oct 2022 — Dec 2023

Milan, Italy

Data Scientist

Deloitte Consulting

Consulting

I delivered machine learning and analytics solutions across the energy, fashion and retail sectors: forecasting, clustering and customer segmentation, recommendation systems, BI dashboards and data ingestion workflows. The work covered the full lifecycle from requirements to deployment and maintenance.

  • Python
  • SQL
  • Power BI
  • Azure ML
  • Azure Data Factory
  • Salesforce
  • LLM-enabled dashboards

Expertise

A connected technical toolkit

Capabilities grouped by the problems they solve rather than as a list of disconnected technologies.

01

Real-time algorithms

Computer vision, detection and tracking, image processing, profiling and code optimisation for constrained runtime environments.

C++ · MATLAB · Simulink

02

IR systems engineering

Infrared sensing, signal processing, system requirements, performance analysis, simulation and technical interfaces.

IR systems · Requirements · Verification

03

Machine learning & data

Forecasting, classification, clustering, recommendations, data pipelines and decision-support dashboards.

Python · SQL · Azure · Power BI

04

Scientific computing

Molecular and stochastic simulations, enhanced sampling, statistical analysis and research software development.

Molecular dynamics · ML · Simulation

Selected project

A portfolio you can explore

MyImmersiveExperience

A professional profile built as a 2D interactive world.

An explorable, room-based portfolio developed with TypeScript and HTML5 Canvas. It combines professional experience, personal interests and an optional in-browser conversational experience in a static GitHub Pages deployment.

Launch the experience Visit GitHub
  • TypeScript
  • HTML5 Canvas
  • Room-based interaction
  • Browser-side AI
  • Static deployment

Research foundation

Computational models for complex, slow and stochastic systems.

My research background spans enhanced sampling for rare events, DNA-based artificial ecosystems and stochastic models of neuromorphic networks. Two peer-reviewed publications document contributions to software, algorithms, simulations and analysis.

Read the research case studies

Beyond engineering

Curiosity, teamwork and perspective

Outside work, I bring the same energy to coaching football, volunteering and continuous learning. Playing competitive football and coaching younger players shaped how I communicate, share responsibility and work within a team.

Reading and travelling remain my favourite ways to encounter new ideas, people and cultures.

Contact

Let’s discuss a complex problem.

For engineering, applied research or data-driven collaboration, the best place to start is an email.

Email me LinkedIn GitHub