Summary
Raffaele Mineo is a research-driven software and AI engineer with eight years of experience building embedded and edge AI solutions, currently working on Horizon Europe’s NEUROKIT2E project at the Università di Catania. He combines deep expertise in low-level firmware (STM32, Arduino, C/C++), cross-platform frameworks (Qt, Unity), and modern ML stacks (TensorFlow, PyTorch, Keras) to optimize and distill models for on-chip inference in medical and industrial contexts. His background spans both academia and industry—collaborating with STMicroelectronics and consulting for DeepSensing—bringing practical deployment skills for radar, depth cameras, and Time Series forecasting. Fluent in Italian, English and Spanish, he pairs hands-on electronics repair and systems integration with formal research training (PhD program in AI for Health), making him adept at translating prototype research into reliable fielded systems. An active member of CVPR/CVPL and IEEE, he uniquely bridges sensor-level engineering and cutting-edge AI methods for embedded applications.
8 years of coding experience
3° ciclo - Dottorato di ricerca Dottorato Nazionale in Intelligenza Artificiale (Area Salute e Scienze della Vita) - XXXVII Ciclo, 3° ciclo - Dottorato di ricerca Dottorato Nazionale in Intelligenza Artificiale (Area Salute e Scienze della Vita) - XXXVII Ciclo at Università Campus Bio-Medico di Roma
Liceo Scientifico "L. Da Vinci" Floridia
2° ciclo - Laurea Magistrale LM Ingegneria informatica, 2° ciclo - Laurea Magistrale LM Ingegneria informatica at Università di Catania