Francesco Stelluti
Data Engineer
Osimo, Marche, Italy
Summary
👤
Senior🎓
Top SchoolFrancesco Stelluti is a data engineer and full-stack developer with eight years of hands-on experience building production software across manufacturing, consulting, and corporate environments. He has delivered end-to-end solutions—from a fault-prediction system for a coffee machine manufacturer to a company-wide internal portal and financial estimation features for a PPM/PLM suite—demonstrating both technical breadth and product focus. Comfortable working in small Agile teams, he blends backend engineering, data cleaning and feature engineering with performance optimization and data migration expertise. Now at Agile Lab, he’s focused on scaling data-driven solutions while drawing on a solid academic foundation (MSc and BSc in Computer Science) plus CCNA networking credentials. Colleagues know him for taking full ownership from design to deployment and turning messy production data into actionable business insights. He brings a practical, results-oriented approach that pairs analytical rigor with hands-on delivery.
8 years of coding experience
4 years of employment as a software developer
CCNA 2 - Routing & Switching Essentials, CCNA 2 - Routing & Switching Essentials at Cisco Networking AcademyMaster degree in Computer Science Software and systems for industries, Master degree in Computer Science Software and systems for industries at University of CamerinoDiploma di istruzione liceale Liceo Scientifico opzione Scienze Applicate, Diploma di istruzione liceale Liceo Scientifico opzione Scienze Applicate at I.I.S. Laeng Meucci
Github Skills (26)
del10
forecasting8
digitalocean7
machine-learning7
python6
google-chrome-extension3
ocs3
chrome-extension3
typescript2
browser2
javascript2
nodejs2
music2
google-chrome2
chrome2
Programming languages (5)
Github contributions (5)
Azzeccagarbugli/Ignite
Oct 2019 - Feb 2020
Contributions:70 commits, 11 pushes, 1 branch in 3 months
FrancisFire/sibilla
Mar 2020 - Nov 2020
A tool for forecasting behaviour of Collective Adaptive Systems.
Contributions:1 PR, 220 pushes, 29 branches in 8 months
forecastingadaptivemachine-learningadaptive-systemsbehaviour
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