E.B: passionate think

I’m currently working on AIwhere, a project I started out of my deep interest in telecommunications, AI, and space technology. AIwhere is still in its early stages, focusing on developing AI-native virtual space infrastructures that integrate computing, communications, and sensing into a unified system. The main goal is to enable autonomous operation of fully virtualized satellite making these capabilities available on demand through an O-RAN architecture. We’re also exploring how to integrate these systems with terrestrial cloud infrastructure, balancing lighter AI models on board with more complex processing on Earth using digital twins.

The idea for AIwhere grew out of my doctoral research at the University of Malaga, where I worked on AI-driven Mobile Network Management and next-generation cellular networks. It was recognized at the UMA Spinoff Awards 2023, which provided both validation and initial support. I’ve since built on this foundation, further shaping AIwhere through my work in deep tech, including participation in the BMoE program at Berkeley. Previously, I also won first prize at the IMFAHE Foundation’s inaugural Shark Tank competition with DemVir project using VR and eye tracking for early dementia detection jointly with Sara a researcher from University of la Laguna (Spain).

As a hacker at Sundai Club, I contribute to rapid AI apps prototyping and tech innovation. Sundai is a fast-paced community where builders, researchers, and entrepreneurs collaborate on fast-AI-prototyping with vibe coding. My work includes FeedFlip, Moodify, and Termsinator, exploring applications in content curation, social dynamics, and contract analysis. I also served as a TA for MIT’s IAP course 6.S093, mentoring students in AI-driven development.

Right now,  I’m actively looking for collaborators and investors to help bring AIwhere to the next level. While the focus is primarily on space, but the technology has potential applications in other areas, including drone-based systems, robotics, and AI-driven wireless solutions for challenging environments where reliability and/or performance  is needed with constrained resources.