I have comprehensive experience across the full lifecycle of building AI solutions — from gathering requirements and understanding business needs, to conducting literature research and feasibility studies, through initial development and experimentation, and finally to solution industrialization, deployment, and ongoing monitoring to ensure performance and reliability. Last but not least, I provide documentation, knowledge transfer, and training to ensure team alignment and facilitate smooth adoption

Francesco Romandini

I have comprehensive experience across the full lifecycle of building AI solutions — from gathering requirements and understanding business needs, to conducting literature research and feasibility studies, through initial development and experimentation, and finally to solution industrialization, deployment, and ongoing monitoring to ensure performance and reliability. Last but not least, I provide documentation, knowledge transfer, and training to ensure team alignment and facilitate smooth adoption

Available to hire

I have comprehensive experience across the full lifecycle of building AI solutions — from gathering requirements and understanding business needs, to conducting literature research and feasibility studies, through initial development and experimentation, and finally to solution industrialization, deployment, and ongoing monitoring to ensure performance and reliability. Last but not least, I provide documentation, knowledge transfer, and training to ensure team alignment and facilitate smooth adoption

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Experience Level

Expert
Expert
Expert
Expert
Expert

Language

Italian
Fluent
English
Fluent

Work Experience

Data Scientist & Machine Learning Engineer at Freelance
September 1, 2025 - Present
I provide services across the full lifecycle of building AI solutions: gathering requirements, literature research and feasibility studies, initial development and experimentation, solution industrialization and deployment, ongoing monitoring for performance and reliability, and documentation/training for knowledge transfer.
Data and AI Engineer at Capgemini Engineering
September 1, 2022 - September 1, 2025
Led multiple projects: (1) Financial documents signature extraction and verification using OCR/NLP, reference keypoints extraction, signature detection model, and Siamese network for verification. (2) Geospatial service for insurance premium estimation with geospatial APIs, rooftop/solar segmentation (YOLACT), facade element detection (YOLOv3), and material classification (EfficientNet); microservices deployed via AWS Lambda/Step Functions with S3/DynamoDB. (3) Anomaly detection from heliborne inspections using a cascade of supervised models (e.g., YOLOv5) and a unified 50TB data processing pipeline. Also performed statistical analysis on production lines, ML model drift retraining, and NLP for product categorization; managed AWS IAM/EC2/S3/DynamoDB/SageMaker and supported service production.
Research Fellow at University of Trento
September 1, 2021 - July 1, 2022
Data integration and time-frequency analysis (FFT, Morlet-Wavelet) and dimensionality reduction (PCA, MDS) of multi-modal data from epilepsy patients.
Intern at University of Padova
October 1, 2020 - July 1, 2021
LSTM and VAE neural networks for encoding and generating spatial navigation paths to be followed by artificial agents (Dyna, DQN, SR).

Education

Master's in Cognitive Neuroscience at University of Padova
October 1, 2019 - July 1, 2021
Bachelor's in Cognitive and Psychobiological Sciences at University of Padova
October 1, 2015 - February 1, 2019

Qualifications

AWS Certified Cloud Developer - Associate
January 11, 2030 - December 15, 2025
AWS Certified Cloud Practitioner
January 11, 2030 - December 15, 2025
Google Data Analytics Professional Certificate
January 11, 2030 - December 15, 2025

Industry Experience

Software & Internet, Financial Services, Professional Services, Media & Entertainment, Education

Experience Level

Expert
Expert
Expert
Expert
Expert

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