Isra Nour El Yakine B.
نبذة
Junior AI Engineer with hands-on experience in deep learning, computer vision, and natural language processing. Passionate about building AI solutions that solve real-world problems, particularly in medical image analysis. Skilled in CNNs, YOLO, and NLP, with practical experience through projects and academic research.
الخبرات
AI Engineer – Aitronix (Internship / Project Work)
Developed computer vision projects using CNNs and YOLO for object detection and classification.
Implemented NLP solutions for text data analysis.
Collaborated on building AI pipelines for real-world applications.
Academic Project – Master’s Thesis
Designed and trained CNN models for medical image classification.
Analyzed dataset performance, implemented preprocessing, and achieved high prediction accuracy.
Applied deep learning techniques to improve diagnostic support tools.
التعليم
Master's degree Electronic of Embedded systems
Master's Degree in Embedded Systems Engineering
Université Mohamed Seddik Benyahia | September 2023 - July 2025
Specialized in microcontroller architecture, real-time systems, AI/ML integration, signal processing, and full-stack development combining embedded systems principles with modern AI applications.
THESIS PROJECT: "Intelligent Medical Image Diagnosis Application"
Developed AI-powered diagnostic system analyzing medical images (MRI, X-rays, CT scans) for brain tumors, pneumonia, Alzheimer's disease, and kidney stones detection.
Technical Stack: CNN models (96% accuracy) | OpenCV image processing | TensorFlow/Keras | ReactJS frontend | Python
Achievements:
96% accuracy CNN models trained on open-source medical datasets
Complete image processing pipeline with real-time visualization
Professional healthcare-grade web interface
Model validation on independent test datasets
Thesis Grade: 19.5/20 ⭐
Graduated: July 2025
Licence in electronics
Bachelor's Degree in Electronics Engineering
Completed undergraduate program providing strong foundation in
electronics, circuit design, and digital systems.
Core coursework:
- Analog and digital electronics
- Circuit design and analysis
- Microprocessor systems and architectures
- PCB layout and design
- Proteus simulation and modeling
- Power electronics
- Signal processing fundamentals
- Instrumentation and sensors
- Digital systems and logic design
- Electromagnetics
- Control systems theory
Practical skills developed:
- PCB design using professional tools
- Circuit simulation and prototyping
- Embedded systems design basics
- Laboratory experimentation and measurement
- Technical documentation and reporting
This foundational program developed core electronics knowledge
essential for advanced embedded systems engineering work.
Graduated: June 2023
مهارات رئيسية
Key Skills
Programming: Python
AI/ML: Keras, TensorFlow, OpenCV, PlaidML, PyTorch
Tools: Git, VS Code
Other Skills: Problem-solving, analytical thinking, efficient remote work