10/07/2025 updated
100 % available
Infotronic Systems Engineering Graduate with AI and Computer Vision Expertise
Sousse, Tunisia
Worldwide
Diploma of National Engineer in Infotronics with Magna Cum Laude distinctionASP.NETJava (Programming Language)JavaScriptAbstraction LayersApplication Programming Interfaces (APIs)Artificial IntelligenceData AnalysisSystems EngineeringArduinoComputer VisionC Sharp (Programming Language)C++ (Programming Language)Communications ProtocolsDatabasesEmbedded Systems
AI & Computer Vision
Deep expertise in artificial intelligence and computer vision technologies including TensorFlow, PyTorch, YOLO, and OpenCV for developing advanced recognition systems and real-time monitoring solutions.
Full-Stack Development
Proficiency in building end-to-end applications from backend APIs to responsive frontend interfaces using technologies like FastAPI, React, ASP.NET, and various database systems.
Embedded Systems
Specialized knowledge in embedded systems development including Raspberry Pi, Arduino, RTOS configuration, hardware abstraction layer, and communication protocols for IoT applications.
Signal Processing
Advanced capabilities in signal processing techniques including FFT, Wavelet Transform, and Spectral Analysis for audio classification and pattern recognition applications.
IoT Technologies
Experience with IoT tools and protocols including Node-Red, Mosquitto, LoRa, Zigbee, WebSocket, and MQTT Brokers for connected device solutions.
Data Science & Analytics
Skills in data analysis and visualization using NumPy, Pandas, SciPy, Matplotlib, and Plotly for extracting insights from complex datasets.
Programming Languages
Proficiency in multiple programming languages including Python, Java, C/C++, C#, Kotlin, VHDL, and JavaScript for diverse application development.
Deep expertise in artificial intelligence and computer vision technologies including TensorFlow, PyTorch, YOLO, and OpenCV for developing advanced recognition systems and real-time monitoring solutions.
Full-Stack Development
Proficiency in building end-to-end applications from backend APIs to responsive frontend interfaces using technologies like FastAPI, React, ASP.NET, and various database systems.
Embedded Systems
Specialized knowledge in embedded systems development including Raspberry Pi, Arduino, RTOS configuration, hardware abstraction layer, and communication protocols for IoT applications.
Signal Processing
Advanced capabilities in signal processing techniques including FFT, Wavelet Transform, and Spectral Analysis for audio classification and pattern recognition applications.
IoT Technologies
Experience with IoT tools and protocols including Node-Red, Mosquitto, LoRa, Zigbee, WebSocket, and MQTT Brokers for connected device solutions.
Data Science & Analytics
Skills in data analysis and visualization using NumPy, Pandas, SciPy, Matplotlib, and Plotly for extracting insights from complex datasets.
Programming Languages
Proficiency in multiple programming languages including Python, Java, C/C++, C#, Kotlin, VHDL, and JavaScript for diverse application development.
Languages
ArabicNative speakerGermanBasic knowledgeEnglishFluentFrenchFluent
Project history
Designed and developed an AI-Based Computer Vision System for Restaurant Staff Performance Evaluation using deep learning algorithms, implementing advanced pose estimation and activity recognition with YOLOv11 and LSTM networks.
Developed an Adaptive SmartGrid for Electric Consumption Management leveraging machine learning, IoT, and big data analytics to enhance electrical grids' efficiency, reliability, and sustainability.
Developed an advanced deep learning model for animal sound classification using transformer-based architectures for audio signal processing and pattern recognition to assist farmers in livestock and crop protection.