10/21/2025 updated

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AI Engineer & Data Scientist specializing in Robotics and Mobile Applications

Hammamet, Tunisia
Worldwide
National Engineering Degree in Computer Science - AI and Data Science
Hammamet, Tunisia
Worldwide
National Engineering Degree in Computer Science - AI and Data Science

Profile attachments

cvEN.pdf

FlutterJavaScriptArtificial IntelligenceAmazon Web ServicesComputer VisionAutonomous SystemMicrosoft AzureC++ (Programming Language)Cloud ComputingCloud EngineeringSystem MonitorMobile Application SoftwarePython (Programming Language)PostgreSQLMachine LearningObject DetectionTensorFlowRobotics Design and ProductionSoftware EngineeringSQL DatabasesPyTorchLarge Language ModelsGoogle FirebaseKerasFastAPIDartRecurrent Neural NetworksDockerProgramming Languages
Artificial Intelligence & Machine Learning
Deep expertise in TensorFlow, Keras, PyTorch, CNN, LSTM, LLMs, RAG, and NLP for developing autonomous systems and real-time AI applications

Mobile & Cloud Development
Proficient in Flutter, FastAPI, AWS, Supabase, Firebase, and Docker for building scalable mobile applications and cloud-based AI solutions

Programming Languages
Strong command of Python, C/C++, Dart, SQL, PostgreSQL, and JavaScript for diverse software development projects

Computer Vision
Experience in real-time object detection, traffic sign recognition, and visual monitoring systems with high accuracy rates

Cloud Platforms
Certified in AWS Cloud Foundations, Azure Fundamentals, and various cloud networking technologies

Languages

ArabicNative speakerEnglishFluentFrenchGood

Project history

Final Year Project Engineer

EPI
Designed autonomous chicken farm robot with ROS 2, LiDAR, RaspPi achieving +30% monitoring efficiency and implemented autonomous navigation with obstacle detection covering 100% of farm area

Mobile AI Intern

NAVERA
Developed Flutter app for real-time object detection using TensorFlow Lite with +25% inference speed and optimized latency reducing model size by 40%

Final Year Project Student

Electronics & Micro Lab
Built traffic sign recognition robot using computer vision with 92% accuracy and integrated multiple sensors for reliable detection in real conditions

Technician Intern

TECHAM
Performed hardware testing and compliance checks according to ISO standards and maintained embedded systems reducing failures by 15%

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