Davide Sbetti is a software engineer based in the Greater Bolzano area with a decade of hands-on experience building reliable backend systems and contributing to widely used open-source projects like Ansible. He holds a summa cum laude Master's in Computational Data Science and a Bachelor in Computer Science from the Free University of Bozen/Bolzano, including an exchange semester in the U.S., which sharpened his cross-cultural communication and language skills. At Würth IT Italy he applies ML-informed thinking and pragmatic engineering to improve platform stability and automation workflows. His open-source work focuses on bug fixes and usability enhancements for infrastructure tooling, such as improving Ansible modules for safer templating and collection management—work that benefits large-scale deployments. Outside engineering he’s passionate about sport, nature and travel, influences that inform his collaborative, detail-oriented approach to problem solving.
10 years of coding experience
Exchange Student Computer Science, Exchange Student Computer Science at College of Charleston
Master's degree Computational Data Science, Master's degree Computational Data Science at Free University of Bozen-Bolzano
High School Degree Area of study Information Systems, High School Degree Area of study Information Systems at Istituto Tecnico Economico Cesare Battisti
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
Role in this project:
Backend Engineer
Contributions:8 reviews, 7 commits, 11 PRs in 2 months
Contributions summary:Davide primarily contributed to fixing bugs and improving the functionality of the Ansible automation platform. They addressed issues related to known_hosts management, collection installation, file touch operations, and templating with unsafe strings. Additionally, the user implemented a feature to allow for blank lines around inserted blocks within the `blockinfile` module. Their work focused on enhancing the stability and usability of Ansible modules.
An application to correct a GPS trace using machine learning techniques.
Contributions:8 releases, 5 commits, 4 PRs in 10 months
techniquespythoncorrecttracemachine-learning
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Davide Sbetti - Software Engineer at Würth IT Italy