Summary
Gianmarco Scarano is a Ph.D. researcher in Artificial Intelligence at Sapienza University of Rome with a decade of experience applying and optimizing ML/DL models in research and industry. He is proficient in TensorFlow, Keras, PyTorch, scikit-learn, Git, and experienced in Python and Java, with practical exposure to production-focused AI engineering from an internship at Smart-I Srl. Gianmarco pairs strong academic training—a Master’s in AI & Robotics and ongoing Ph.D. work at ALCOR-Lab—with hands-on model optimization skills and collaborative research experience including a Junior Research Fellowship and conference volunteer work. Fluent in English and open to team-based projects, he combines curiosity and receptiveness to feedback with a track record of building reproducible code shared on GitHub. An interesting detail: despite deep ML focus, his background includes formal training in software production technologies and business-oriented high school studies, giving him a pragmatic, interdisciplinary perspective.
10 years of coding experience
1 year of employment as a software developer
Laurea triennale in Informatica Informatica e Tecnologie per la Produzione del Software, Laurea triennale in Informatica Informatica e Tecnologie per la Produzione del Software at Università degli Studi di Bari
High School Diploma Economia aziendale/manageriale, High School Diploma Economia aziendale/manageriale at I.T.E.S. F.M. Genco
Doctor of Philosophy - Ph.D. National Ph.D. in Artificial Intelligence, Doctor of Philosophy - Ph.D. National Ph.D. in Artificial Intelligence at Sapienza Università di Roma
Italian, English, French, Spanish