Marie Skłodowska-Curie Early-Stage Researcher at Università degli Studi di Napoli Federico II (UniNa) / University of Naples Federico II
Stockholm, Stockholm County, Italy
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Summary
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Rockstar
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Andreas Naoum is a Marie Skłodowska-Curie Early-Stage Researcher and software engineer with five years of hands-on experience bridging academic research and industry innovation. He holds an MSc in Autonomous Systems from KTH and is starting a PhD in Information Technology and Electrical Engineering at Università degli Studi di Napoli Federico II, blending robotics, AI, and human–robot interaction. His background includes applied research roles across European labs and innovation stints at Ericsson’s Stockholm Innovation Lab, where he focused on advancing adaptive intelligent systems. As an active open-source contributor, he implemented multimodal visualization and gesture-recognition examples for the Rust-based rerun project, demonstrating practical expertise in Python computer-vision pipelines and full-stack integration. Colleagues describe him as technology-driven and curiosity-led, consistently turning research prototypes into reproducible examples and documentation. Based in Stockholm with roots in Italy and Cyprus, he combines multidisciplinary academic rigor with product-oriented engineering.
4 years of coding experience
3 years of employment as a software developer
Bachelor's Degree (Πτυχίο) Computer Science, Bachelor's Degree (Πτυχίο) Computer Science at University of Cyprus
Master of Science (Teknologie masterexamen) ICT Innovation - Autonomous Systems, Master of Science (Teknologie masterexamen) ICT Innovation - Autonomous Systems at KTH Royal Institute of Technology
Erasmus+ Exchange Programme Computer Science, Erasmus+ Exchange Programme Computer Science at Syddansk Universitet - University of Southern Denmark
PhD in Information Technology and Electrical Engineering (ITEE), PhD in Information Technology and Electrical Engineering (ITEE) at Università degli Studi di Napoli Federico II
Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
Role in this project:
Full-stack Developer
Contributions:3 reviews, 9 PRs, 65 pushes in 5 months
Contributions summary:Andreas contributed significantly to example implementations within the Rerun visualization library, focusing on integrating various data modalities. Their work includes developing a gesture recognition example using MediaPipe, updating documentation and README files for existing examples (including raw mesh, OCR, object detection), and fixing bugs within the example code. The user demonstrated proficiency in Python and its related libraries for computer vision and data visualization.
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Andreas Naoum - Marie Skłodowska-Curie Early-Stage Researcher at Università degli Studi di Napoli Federico II (UniNa) / University of Naples Federico II