Summary
Alberto Eusebio is a research engineer and AI specialist with nine years of hands-on experience building computer vision and embedded software systems across academia and industry. Currently at Huawei and completing research work at Politecnico di Milano and Torino, he has published and presented trustworthy evaluation methods for deep learning on lung CT scans and implemented fairness checks for medical imaging models. He blends systems and product-minded development—delivering Raspberry Pi and ESP32 telemetry for a 130 km/h record-setting human-powered vehicle, a Telegram-integrated monitoring stack for water generators, and AWS-backed LLM mobile tooling for mental wellbeing. Comfortable moving between research prototypes and production proofs-of-concept, he has helped enterprises adopt generative AI agents while also designing robotic perception pipelines for autonomous viticulture. Known for coordinating large, multidisciplinary student teams and engaging sponsors and media, he pairs technical depth with pragmatic project leadership. Outside work he pursues side projects and languages, often choosing roles that connect cutting-edge models to real-world impact.
9 years of coding experience
3 years of employment as a software developer
Scientific High School Diploma, Higher focus on Mathematics, Physics, Biology and Latin, 100/100, Scientific High School Diploma, Higher focus on Mathematics, Physics, Biology and Latin, 100/100 at Istituto Internazionale Edoardo Agnelli
Master's degree, Artificial Intelligence, 28/30, Master's degree, Artificial Intelligence, 28/30 at Politecnico di Milano
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Alta Scuola Politecnica
Bachelor's degree, Computer Engineering, 110/110 Cum Laude, Bachelor's degree, Computer Engineering, 110/110 Cum Laude at Politecnico di Torino
English, Italian, German