Gioele Ciaparrone is an AI and Data Scientist with 11 years of experience, holding a PhD in Big Data Management and top honors at both bachelor’s and master’s levels. He specializes in deep learning for image and video analysis—particularly CNNs—and has applied this expertise to projects ranging from holographic microscopy cell detection to video retrieval and multiple-object tracking. His research record includes publications and international visiting positions, and he recently completed a short-term research fellowship at the University of Salerno. At Kebula he brings research-grade methods into applied data science workflows, combining academic rigour with product-focused delivery. A fast learner and problem-solver, he pairs technical depth with curiosity—evident in his interest in logic puzzles, videogames, and space exploration—which often drives creative approaches to complex ML problems.
11 years of coding experience
PhD in Big Data Management, Excellent, PhD in Big Data Management, Excellent at Università degli Studi di Salerno
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Contributions:2 PRs, 13 pushes, 7 branches in 6 months
pytorchmaskdetectiondeep-learningretinanet
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