Biography

I am a Research Engineer in the Networks Data Science group at IMDEA Networks Institute, where I work on in-network intelligence over programmable data planes and SmartNICs, including synthetic traffic generation, and run the group’s experimental infrastructure with a DevOps approach (Ansible, K3s). I am particularly interested in the energy footprint of network and computing systems, a topic I contribute to within the SNS-JU projects ORIGAMI and PROSPERO. I contributed to the testbed demonstration of DUNE, a framework for distributed ML inference across Intel Tofino switches (IEEE INFOCOM 2025).

I hold a BSc in Electrical Engineering from the Technological University of Havana (CUJAE) and an MSc in Internet of Things: Applied Technologies from Universidad Carlos III de Madrid. My MSc thesis characterized the energy regime of a 17-server research cluster over 6 months and showed that incremental power models keep their predictive accuracy far better than frozen fits, while also discussing the limits of per-component power attribution.

Before joining IMDEA Networks, I worked at the Photovoltaic Research Laboratory of the University of Havana (IMRE), developing digital twins of photovoltaic generation systems and model- and ML-based methods for the measurement and calibration of instruments, as well as IoT-based data acquisition for PV monitoring.