Telecommunications Engineer focused on communications systems, satellite communications, RF/microwave, networking/SDN, signal processing, and systems engineering.
My technical work combines reproducible communications and networking systems with data-driven modelling for traffic analysis and prediction.
- Communications systems and satellite communications
- RF/microwave and digital communications
- IP networking, SDN/OpenFlow, Mininet, Open vSwitch and OpenDaylight
- Signal processing and data-driven traffic analysis
- Systems engineering, integration, verification and validation
Research repository developed from my master's thesis at Universidad Miguel Hernández, defended with a grade of 10/10.
The project compares statistical, machine-learning and deep-learning approaches for multihorizon IP traffic forecasting on UGR'16, using a temporally separated March → April → June protocol with external evaluation, cross-family analysis, residual diagnostics, and reproducibility documentation.
Model families include ARIMA, VAR, Ridge, tree ensembles, RNN, LSTM, GRU, and a lightweight Transformer. The final evidence supports no universal winner: performance depends on forecast horizon, metric, temporal regime, training history, stability, and computational cost.
Reproducible SDN testbed developed from my bachelor's thesis at Universidad Miguel Hernández, defended with a grade of 10/10.
The project covers incremental validation from basic topologies to Leaf-Spine and a Fat-Tree k=4, deterministic OpenDaylight RESTCONF forwarding, bounded OpenFlow select-group ECMP experiments, reproducibility checks, and public engineering evidence.
Communications systems, satellite communications, RF/microwave, networking, signal processing, and systems engineering, with a particular focus on aerospace and NewSpace applications.