Summary
Julian Sherollari is an AI & RPA Engineer based in Rome with eight years of experience applying automation and AI to finance and insurance domains. He currently builds hyperautomation solutions at Gruppo Unipol while also coordinating travel operations at WeRoad, blending technical delivery with real-world operational perspective. Previously he advised enterprises on AI strategy and digital transformation at Atos and designed TO-BE solutions as a consultant at Capgemini, pairing process analysis with hands-on implementation. His academic background includes a master's in Computer Science with an AI specialization from the University of Bologna and international exposure via an Erasmus stint in Augsburg, which informs his pragmatic, cross-disciplinary approach. Notably, early work at The Qt Company shows a knack for interoperable tooling and clean C++ design applied to geospatial problems—an indicator of his attention to robust, standards-aligned engineering.
8 years of coding experience
2 years of employment as a software developer
Master's Degree in Computer Science and Engineering - Artificial Intelligence, Master's Degree in Computer Science and Engineering - Artificial Intelligence at Alma Mater Studiorum – Università di Bologna
Erasmus Plus European Exchange Programme Electronics and Communication Engineering, Erasmus Plus European Exchange Programme Electronics and Communication Engineering at Technische Hochschule Augsburg
Bachelor of Computer and Automation Engineering Control Theory Applied Mathematics, Bachelor of Computer and Automation Engineering Control Theory Applied Mathematics at Università Politecnica delle Marche
English, Italian, French, Chinese, German, Albanian