I am a Telecommunications Engineering student focused on building secure, scalable cyber-physical systems. My goal is to master the intersection of Hardware Engineering, Digital Signal Processing, Cloud Infrastructure, and AI to develop mission-critical infrastructure that connects physical environments with intelligent software.

• 📡 Hardware & Signals: Digital Signal Processing (Audio/Video), circuit analysis, and embedded systems architecture.
• ☁️ Cloud & Architecture: Building highly available data pipelines and systems (AWS/Azure/GCP) using Infrastructure as Code (Terraform).
• 🛡️ Cybersecurity: Focused on DevSecOps, infrastructure hardening, and securing the hardware-to-cloud data flow.
• 🤖 Applied AI: Implementing MLOps and scalable inference models for real-time telemetry and signal data.

• Domain: Undergraduate Final Degree Project (I+D) at the University of Granada.
• Problem Space: Analyzing and mitigating Electromagnetic Interference (EMI) to ensure hardware reliability in noisy electronic environments.
• Instrumentation & Testing: Conducting physical measurements using a Line Impedance Stabilization Network (LISN) to isolate power line noise and characterize conducted emissions.
• Signal Analysis: Utilizing oscilloscopes and spectrum analysis to validate signal integrity, filtering techniques, and hardware shielding effectiveness.
• Current Stage: Capturing physical lab measurements and correlating empirical data with theoretical EMC models.
• 🔗 View R&D Documentation & Lab Measurements (Link pending)

• Domain: Final Project of the MIC Course ("Diseño de Placas de Circuito Impreso para Productos Electrónicos") at the University of Granada (UGR) & University of Alcalá de Henares (UAH) in collaboration with GranaSAT.
• Problem Space: Developing a secure, low-power control and telemetry system capable of local WiFi and long-range wireless LoRaWAN communication.
• PCB Design: Designed a multi-layer printed circuit board entirely in Altium Designer utilizing hierarchical schematics, custom component libraries (symbols, footprints, and 3D models), and strict DRC layout rules.
• System Integration: Embedded an ATmega4808 MCU, LoRaWAN transceiver, WiFi module, and an integrated solar charger controller for energy harvesting, along with a FT231X USB-to-UART bridge.
• Deliverables: Configured OutputJobs to generate complete manufacturing files, including interactive PDF documentation and 3D board render videos.
• 🔗 View Repository

• Status: Completed (Legacy / No active maintenance).
• Problem: Efficiently capturing and visualizing high-frequency sensor data from remote devices without losing data integrity.
• Solution: Designed an end-to-end telemetry pipeline using the MQTT protocol for lightweight messaging and a Time-Series Database (TSDB) for optimized storage.
• Tech Stack: Dockerized environment with Node-RED for orchestration and InfluxDB for persistence.
• 🔗 View Repository

• Status: Completed (Legacy / No active maintenance).
• Problem: Vulnerabilities in container images often go undetected until production, increasing the attack surface.
• Solution: Building a secure containerization workflow that integrates Trivy for automated vulnerability scanning (CVEs).
• 🔗 View Repository

• H2 2027: Final Degree Project (TFG) focusing on Electromagnetic Compatibility (EMC) and Signal Integrity in complex systems.
• 2026-2027: Google Cloud Associate Cloud Engineer & CompTIA Security+ Certifications.
• 2027: Bridging the gap: Contributing to Open Source projects involving IoT infrastructure, hardware-in-the-loop (HIL) testing, or Cloud-Native (CNCF) environments.

My journey into 2027 focuses on mastering the synergy between physical hardware reliability, secure infrastructure, and cloud intelligence.

• ⚡ EMC & Signal Integrity: Electromagnetic Compatibility testing, shielding, and ensuring robust hardware performance in noisy environments.
• ⚡ PCB Design & Hardware Engineering: Advanced printed circuit board (PCB) design and layout using Altium Designer, including multi-layer boards, custom footprint creation (footprints & 3D models), OutputJobs configuration, and manufacturing files.
• 🛡️ Advanced Cybersecurity: Network Security, Pentesting fundamentals, and securing the hardware-to-cloud data flow (Zero Trust).
• ☁️ Cloud-Native Ecosystem: Focus on high availability, cost-optimization, and Infrastructure as Code (IaC).
• 🤖 Applied AI & MLOps: Integrating LLMs and Neural Networks into scalable production pipelines for real-time sensor and telemetry analysis.
• 📦 Containerization & DevSecOps: Orchestration using Docker/Kubernetes and automating secure pipelines with Terraform, Ansible, and CI/CD.