Youssef Boughanmi

Software Engineer – Specialization in Machine Learning

Building intelligent solutions that transform complex problems into scalable AI systems. Specializing in machine learning algorithms, full-stack development, and data-driven applications.

yussefboughanmy@gmail.com
+216 26 068 101
Tunis, Tunisia
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Discover My Work

About Me

Software Engineer specializing in Artificial Intelligence and Machine Learning with intensive project-based training from Holberton School. Proficient in building scalable applications and designing intelligent systems using modern tech stacks.

Developed ShopEase – a full-stack e-commerce platform with enterprise security features, and SmartMed AI – a medical diagnostic assistant demonstrating AI's potential in healthcare.

2+

Years Training

3+

Projects

100%

Project-Based

3

Languages

Technical Expertise

Programming Languages

JavaScript (ES6+) Python C SQL

Frameworks & Libraries

React.js Node.js Express.js Redux TensorFlow Keras PyTorch Pandas NumPy Scikit-learn Flask

Databases

MongoDB MySQL

Tools & Platforms

Git & GitHub VS Code Postman Cloudinary Docker npm/yarn Jupyter Notebook

DevOps & Security

RESTful APIs JWT Authentication Bash Scripting CI/CD Basics CORS dotenv

Soft Skills

Problem Solving Communication Time Management Self-Learning Team Collaboration

Featured Projects

ShopEase E-commerce Platform

Full Stack View on GitHub
React.js Node.js Express.js MongoDB Redux TailwindCSS JWT Cloudinary PayPal API

A sophisticated full-stack e-commerce solution designed for modern online retail with advanced features for users and administrators.

Key Features & Achievements:

  • Engineered secure dual-role authentication system with JWT tokens and integrated PayPal payment processing
  • Developed intelligent cart persistence system that merges guest and authenticated sessions
  • Implemented real-time order tracking dashboard and advanced product filtering with search optimization
  • Achieved 30% mobile performance improvement through frontend optimization

Project Gallery

1 / 7

SmartMed AI – AI-Powered Medical Diagnosis Platform

AI/ML View on GitHub
Python Flask Scikit-learn Pandas NumPy SVC Model Bootstrap Joblib RESTful API

An advanced machine learning-powered medical diagnosis system that predicts diseases from symptoms and provides comprehensive treatment recommendations.

Key Features & Achievements:

  • Developed an SVC machine learning model achieving 100% accuracy across 41 diseases and 132 symptoms
  • Built a Flask web application with real-time symptom input, diagnosis, and treatment recommendations
  • Created comprehensive knowledge base with medications, precautions, diet, and exercise recommendations
  • Implemented modular architecture with clean separation of concerns and local deployment for privacy

Important Disclaimer:

SmartMed AI is an educational/research prototype. It is NOT a certified medical device and SHOULD NOT be used for actual medical diagnosis.

Project Gallery

1 / 7

Education & Training

Software Engineering – Machine Learning & AI Specialization

Holberton School Tunis, Tunisia

Intensive project-based software engineering training with specialization in artificial intelligence and machine learning.

Key Learning Outcomes:

  • Mastered full-stack web development using MERN stack (MongoDB, Express.js, React.js, Node.js)
  • Developed expertise in machine learning algorithms, deep learning, and neural networks using TensorFlow and Keras
  • Gained proficiency in system programming, algorithms, data structures, and database design
  • Built and deployed scalable applications with cloud technologies and containerization
  • Completed 10+ hands-on projects including e-commerce platforms and AI-powered systems
Technologies Learned:
React.js Node.js TensorFlow Keras Python JavaScript MongoDB Docker Git
Credentials Verification: Verify Certification

Get In Touch

Email

yussefboughanmy@gmail.com

Phone

+216 26 068 101

Location

Tunis, Tunisia

LinkedIn

linkedin.com/in/youssef-boughanmi

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