R&D manager, expert in embedded systems, IoT protocols, and (far) edge computing. I specialize in IoT systems archtiectural design, protocols like RPL, BLE, curently working on ESP-IDF build systems, and Zenoh-Pico, targeting real-world deployment and applications, and biometric sensor integration. I value precision, autonomy, and clarity in both code and communication. AI rocks!
A collection of embedded examples for ESP32-CAM and ESP32-S3 using ESP-IDF and Arduino. Includes WebSocket servers, face detection, biometric sensors (e.g. BME280), and modular setups for real-world IoT deployment.
☁️ TriCloudEdge
Multi-cloud edge orchestration with embedded AI support. Focused on secure data flow, device modularity, and real-time analytics over AI face-detection and recognition.
Zenoh-Pico mesh networking on ESP32. Includes TCP/UDP peer mode operation, socket layer debugging, and extensive AI face detection and recognition over AI-generated datasets.
🛡️ ASSET
PhD Thesis. Centralized SDN-inspired intrusion detection system for RPL-based IoT networks. It monitors network topology via Contiki/Cooja, detects attacks like rank and grayhole, and uses k-means and Kosaraju algorithms to identify malicious nodes.
- 📍 Based in Europe, navigating embedded deployments across cities and industries
- 💬 Open to collaboration on modular hardware, embedded AI, and technical leadership