fadhloun billel

Passionate Embedded Systems Engineer & AI for Renewable Energy Specialist

Driven by a commitment to sustainable innovation, I combine deep expertise in embedded software with cutting‑edge AI techniques to develop smart, energy‑efficient solutions. With a robust academic foundation and hands‑on project experience, I excel at transforming complex requirements into reliable, high‑performance systems that bridge hardware and software seamlessly.

🔧 Embedded Firmware & RTOS Expertise
Over 3 years of experience designing and implementing firmware in C/C++ for STM32 and other ARM Cortex‑M microcontrollers. Proficient in FreeRTOS task management, interrupt handling, and peripheral configuration, with a track record of delivering lean, maintainable code and custom device drivers.

🌐 IoT Prototyping & Connectivity
Architected end‑to‑end IoT prototypes using ESP32/ESP8266 modules, integrating sensors and actuators for real‑time monitoring. Skilled in wireless communication stacks (MQTT, HTTP) and serial interfaces (UART, SPI), and building secure data pipelines to cloud platforms such as ThingSpeak.

🤖 AI‑Driven Digital Twin & Optimization
Leveraged MATLAB/Simulink to build digital twin models of wireless power transfer systems, accelerating design cycles by 90% through neural network surrogate models. Applied Genetic Algorithms to static configurations and trained PPO reinforcement learning agents for dynamic control, consistently achieving >80% efficiency under varying conditions.

🏆 Key Achievement
• Reduced production error rates by 15% through a custom Raspberry Pi vision system with OpenCV‑based color segmentation, demonstrating the power of embedded vision in industrial quality control.

I’m eager to bring my blend of embedded systems acumen and AI innovation to forward‑thinking teams in embedded, IoT, and renewable energy sectors. Let’s connect and explore how we can drive the next generation of smart, sustainable technology together.

 

Optimize wireless power transfer for (EV's) using (AI):
◦ Designed and simulated WPT systems using MATLAB/Simulink, integrating control and modeling
physics in a complete digital twin.
◦ Implementation of neural network substitution modeling, reducing simulation time for optimization by more than 90%.
◦ Applied genetic algorithm (GA) to static (off-road load) WPT configuration, improving system efficiency from 83.36% to 85.47%.
◦ Trained a Reinforcement Learning (RL) Agent (PPO) for dynamic (on-road) control of WPT, maintaining an average efficiency of ∼80% on different trajectories.

◦ Participated in the on-site assembly and installation of photovoltaic (PV) systems —including grid-connected systems and pumping systems — across multiple sites, with a flagship project at Folla Residence.
◦ Contributed to the design and installation of PV systems at residential and commercial sites in Sousse, reducing customers' energy costs by 20%.
◦ Implementation of on-site assembly, electrical wiring and panel alignment procedures to ensure optimal system performance.
◦ Collaborated with field technicians to improve installation efficiency and ensure compliance with safety and electrical standards.

Installing a camera to detect false cable colors in production:
◦ Orchestrated a Raspberry Pi-based vision system using OpenCV and color segmentation,
enabling real-time verification of cable colors and a reduction in cabling-related production errors by 15%.
◦ Developed a dual-camera setup using a Pi camera and a USB 3.0 camera to monitor both cable output and the machine's reference display.
◦ Implemented HSV color segmentation and thresholding with OpenCV in Python, enabling automated cable color checking.
◦ Built a graphical interface for system control and integrated an audio-visual alarm to alert operators when color disagreements are detected.

Système de surveillance de température ambiante:
◦ Développé un système de l’Internet des objets (IoT) pour mesurer et surveiller la température ambiante en temps réel avec une précision de 99%.
◦ Conçu un système à microcontrôleur utilisant des capteurs (par exemple, DHT11) pour acquérir des données de température.
◦ Acquisition et transmission de données programmées en utilisant Arduino et ESP8266 avec connectivité Wi-Fi.
◦ Visualisait en temps réel les tendances de température et les données historiques à l’aide des tableaux de bord ThingSpeak, accessibles à distance via le protocole HTTP.

Ambient temperature monitoring system:
◦ Developed an Internet of Things (IoT) system to measure and monitor ambient temperature in real time with 99% accuracy.
◦ Designed a microcontroller system using sensors (e.g. DHT11) to acquire temperature data.
◦ Scheduled data acquisition and transmission using Arduino and ESP8266 with Wi-Fi connectivity.
◦ Viewed real-time temperature trends and historical data using ThingSpeak dashboards, accessible remotely via HTTP.

• Higher School of Sciences and Techniques of Hammam Sousse (ESSTHS) - July 2025
Professional Master’s degree in Artificial Intelligence For Renewable Energy Systems 
◦ Internet of Things, Machine Learning, Digital Twins, Smart Grid, Photovoltaic Installations

• Higher School of Sciences and Techniques of Hammam Sousse - June 2023
Bachelor’s degree in Electronics, Electrical engineering & Automation – Embedded Systems 
◦ Microprocessor and Microcontroller Architecture, ARMS Architecture and Programming, Image processing, Cable networks, Linux