Daniele Locatelli is a Full Stack Developer with four years of experience and a master's in Computer Science & Engineering from Politecnico di Milano. He blends practical software engineering at KPMG and Backwell Tech with research experience in graph neural networks from a Fujitsu internship during the Vulcanus in Japan program. Comfortable across the stack, he has applied ML methods to molecular-property prediction and transitioned those research insights into production-focused engineering roles. His background includes international exchanges in Tübingen and early hands-on technical roles from hardware repair to event tech, reflecting a pragmatic, customer-facing mindset. Based in Milan, he brings a mix of academic rigor, cross-cultural collaboration, and operational experience that accelerates delivery of data-informed applications.
4 years of coding experience
1 year of employment as a software developer
Erasmus+ Exchange, Erasmus+ Exchange at University of Tübingen
Laurea Magistrale LM Computer Science & Engineering, Laurea Magistrale LM Computer Science & Engineering at Politecnico di Milano
The aim of the project is to analyze the dendrogram produced by the agglomerative clustering to find optimal multi-level cut to define the best segmentation and model classes.
Contributions:4 PRs, 21 pushes, 3 branches in 3 months
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Daniele Locatelli - Full Stack Developer at Backwell Tech.