Opportunity to innovate, to understand the customer needs and domain to design solution with it's high level architecture

Nicolò Chiapello
@nicolchiapello
I build AI diagnostics, simulation, and optimization systems for automotive, manufacturing, and energy.
What I'm looking for
At REPLY Sensor, I lead AI projects from technical pre-sales through delivery, managing teams of up to seven and a €1 million project portfolio. I develop differentiated AI solutions for energy, automotive, and advanced manufacturing.
I've built real-time Ferrari telemetry diagnostics, surrogate thermo-chemical models that cut simulation time from hours to milliseconds, and manufacturing monitoring that improved anomaly identification by 25%. My work combines deep learning, physical models, cloud, edge AI, and engineering simulation.
Experience
Work history, roles, and key accomplishments
Senior Data Scientist and Technical Project Manager
Reply Sensor
Apr 2022 - Present (4 years 5 months)
Led technical pre-sales and project management for AI solutions, developing new business lines and managing project portfolios worth one million euros. Developed diagnostic AI solutions for Ferrari racing teams and manufacturing anomaly detection tools.
Data Scientist and Applied AI Engineer
Reply Concept Engineering
Jan 2021 - Mar 2022 (1 year 2 months)
Created and managed a new business proposition for ADAS and driver behavior monitoring, and developed a digital twin of construction sites for production monitoring using Edge AI.
Research Fellow
Politecnico di Torino
Sep 2020 - Jan 2021 (4 months)
Developed an insurance fraud detection system for Reale Mutua Assicurazioni and implemented a VR training simulation for NATO aeronautical training.
Bioenergy Data Analysis Intern
Celignis Analytics
Jul 2014 - Oct 2014 (3 months)
Collaborated with Limerick University on biomass sustainability research, developing MATLAB scripts for processing and analyzing spectrometric data.
Mechanical Design Intern
Artimpianti
Jul 2012 - Sep 2013 (1 year 2 months)
Designed mechanical components using CAD and SolidWorks 3D to model, validate, and iterate on mechanical systems for industrial plant installations.
Education
Degrees, certifications, and relevant coursework
Politecnico di Torino
Postgraduate Master Program, Artificial Intelligence & Cloud
Grade: 110/110
Postgraduate Master Program in Artificial Intelligence & Cloud, completed in December 2021 with a grade of 110/110.
Politecnico di Torino
Master's Degree, Data Science and Engineering
Grade: 110/110
Master's Degree in Data Science and Engineering, completed in July 2020 with a grade of 110/110.
Politecnico di Torino
Bachelor's Degree, Computer Engineering
Grade: 103/110
Bachelor's Degree in Computer Engineering, completed in March 2018 with a grade of 103/110.
British Council
IELTS certificate, English Language
Grade: C1
IELTS certificate with a C1 grade, achieved in January 2016.
Tech stack
Software and tools used professionally
AWS Glue
Amazon Quicksight
GitHub
Docker Compose
Helm
GitHub Actions
PySpark
MongoDB
Django
Spring Boot
Databricks
Azure Stack
OpenCV
Redis
Azure IoT Hub
Jira
Python
Java
C#
Kotlin
C++
C
MATLAB
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Streamlit
Tensorflow Lite
Gradio
Kafka
MQTT
Flask
FastAPI
OpenTelemetry
AWS Lambda
GitHub CLI
Git
Docker
SOLIDWORKS
Amazon SageMaker
SciPy
AutoCAD
Pydantic
LiteLLM
ONNX (Open Neural Network Exchange)
vLLM
Mistral AI
GitHub Copilot
Bash
ROS (Robot Operating System)
Optuna
DeepSeek
Qwen
Arduino
Claude Code
PlatformIO
Azure AI Foundry
Android
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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