Fares Koubaa

Participated in the Orange Summer Challenge, won by our team Wedtect (1st place) through the development of DripIn, an IoT–AI solution for detecting and localizing agricultural water leaks. Designed and programmed a PCB based on ESP32 for sensor data acquisition, measuring water flow and volume. Implemented communication between the board and the backend via LoRa/LoRaWAN and HTTP Webhooks and integrated a TinyML model for local leak detection (deployed via Edge Impulse).

Introduction to professional engineering practices and to embedded development combined with IoT. Developed an embedded IoT solution on a ESP32, combining sensor configuration and real-time data transmission via MQTT, HTTP, and Node-RED.

Specialized training in Artificial Intelligence (AI), advanced databases, information fusion and retrieval, Web of Things, ontologies and semantic web, and research methodology.

Engineering Degree Program in Electrical Engineering with a specialization in Advanced Microelectronics & Real-Time Systems. Focused on embedded software, Edge AI, IoT, and edge computing. Hands-on experience with Embedded Linux on Raspberry Pi and BeagleBone Black, Edge AI development on NVIDIA Jetson platforms, TinyML, and IoT systems. Strong foundation in microelectronics, signal processing, RTOS, ARM/RISC SoC architectures, electrical systems, and industrial automation.

Training in mathematics and physics with preparation for engineering school entrance exams.