> Zineddine Rebbouh
Hey there! I'm a developer who loves building stuff that actually works. Been coding for about 2 years now, mostly doing full-stack web dev and playing around with machine learning. I get excited about solving real problems with code, whether that's a slick web app or a smart ML model.
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> Status: Online & Ready
> Mode: Full-Stack Dev
> Coffee Level: ████████░░ 80%
> Current Focus: Building Cool Stuff$ cat about_me.txt
I'm just a guy who loves building things with code. Started with web development, got hooked on machine learning, and now I do both. Here's the story so far...
Right now, I'm focused on building web applications that people actually want to use. I care a lot about making things look good AND work well - there's no point in having a beautiful interface if it's slow or breaks on mobile, you know?
I've been lucky to work on projects at Codsoft and Elevvo Pathways during my internships, plus a bunch of personal projects that taught me way more than I expected. The machine learning stuff started as curiosity but turned into a real passion - there's something satisfying about training a model and watching it actually learn.
When I'm not coding, I'm usually reading about new tech, experimenting with different ML approaches, or contributing to open source projects. I also spend way too much time on Stack Overflow, but hey, that's how we learn, right?
Things I've Built
- Built a real-time sports trend detection platform (pretty cool project with Twitter data)
- Created several ML models including a movie recommendation system that actually works
- Developed a full e-commerce platform during my bachelor's project
- Completed internships at Codsoft (React stuff) and Elevvo Pathways (ML focus)
- Always trying to make my apps accessible and responsive (it matters!)
What I'm Good At
Full-Stack Development
I work with React, Next.js, Django, and Node.js. Been at it for 2+ years and still learning new tricks every day.
Machine Learning
Love working with data! I've built recommendation systems, computer vision models, and NLP stuff using TensorFlow and scikit-learn.
Backend & Data
Comfortable with both SQL and NoSQL databases. I enjoy building APIs and making sure data flows smoothly through systems.
Problem Solving
I get excited about tackling real problems with code. Whether it's optimizing performance or building something from scratch.
Skills & Expertise
A comprehensive overview of my technical skills spanning full-stack development and machine learning
React
Frontend
Next.js
Framework
TypeScript
Language
Python
Language
Django
Backend
Node.js
Runtime
MongoDB
Database
TensorFlow
ML
Scikit-learn
ML
Tailwind
Styling
Redis
Cache
Git
Tools
Experience & Education
My professional journey and educational background in software development and machine learning
Built three applications—a To-Do List, a Portfolio Website, and a Blog Application—using reusable component structures and responsive design principles. Enhanced UI/UX by implementing interactive features, optimizing state management, and adhering to best practices in JavaScript and CSS.
Key Achievements
- Developed 3 complete React applications with modern UI/UX
- Implemented responsive design principles across all projects
- Optimized state management and component reusability
- Delivered functional projects within tight deadlines
Technologies & Skills
Worked on several machine learning projects including regression models, clustering algorithms, classification systems, and deep learning applications. Gained hands-on experience with various ML techniques and real-world data processing.
Key Achievements
- Built regression model for student exam score prediction
- Implemented K-Means clustering for customer segmentation
- Developed multi-class classification for forest cover type
- Created CNN-based traffic sign recognition system
- Built collaborative filtering movie recommendation system
- Implemented Walmart sales forecasting using XGBoost
Technologies & Skills
Comprehensive computer science education covering software engineering, algorithms, data structures, and modern development practices. Completed multiple projects including full-stack web applications and machine learning implementations.
Key Achievements
- Graduated with strong foundation in computer science principles
- Completed multiple full-stack development projects
- Specialized in web development and machine learning
- Developed strong problem-solving and analytical skills
Technologies & Skills
Scientific baccalaureate with focus on mathematics, physics, and computer science fundamentals.
Key Achievements
- Strong foundation in mathematics and sciences
- Early exposure to computer science concepts
- Developed analytical and logical thinking skills
Technologies & Skills
Featured Projects
A showcase of my work spanning full-stack web development and machine learning applications
Built a sophisticated real-time sports trend detection platform that identifies trending sports entities across multiple disciplines. The frontend was developed with Next.js for optimal performance, while the backend utilized Django REST Framework for robust API management. Implemented real-time updates using Django Channels with Redis for instant data synchronization.
Key Features
- Real-time sports trend detection across multiple platforms
- Twitter scraping with Twikit for data collection
- Named Entity Recognition (NER) using Stanza
- Sentiment analysis with Transformers library
Technologies
Engineered a full-stack e-commerce platform using the MERN stack, designed to support multiple vendors and customers through sophisticated dashboard interfaces. The platform features comprehensive vendor management, customer interactions, and administrative controls with secure authentication and robust data management.
Developed a comprehensive addiction assessment web application using modern web technologies. The platform provides secure user authentication, personalized assessment tools, and a sophisticated feedback system designed to help users understand and address gaming addiction patterns.
Crafted a fully responsive restaurant website using modern web technologies to deliver an immersive dining experience. The project focused on presenting menu categories and restaurant branding with customizable UI templates, ensuring optimal performance across all devices.
> Recent Articles
# Sharing insights on web development, machine learning, and software engineering
Building Real-Time Sports Trend Detection with Django and Next.js
A deep dive into creating a scalable real-time analytics platform using Django REST Framework, Next.js, and Redis for live sports trend monitoring.
Machine Learning Model Deployment: From Jupyter to Production
Complete guide on deploying ML models from development to production, covering containerization, API design, and monitoring strategies.
Optimizing React Performance with Advanced Patterns
Exploring advanced React optimization techniques including memoization, code splitting, and performance monitoring for large-scale applications.
Computer Vision for Traffic Sign Recognition: A CNN Approach
Building and training a convolutional neural network for traffic sign classification with data augmentation and transfer learning techniques.
> Certifications & Credentials
# Professional certifications validating expertise across cloud, development, and ML domains
> Honors & Awards
# Recognition for academic excellence, professional achievements, and community contributions
Recognized for exceptional performance during React.js development internship, delivering three high-quality applications ahead of schedule.
Recognized for significant contributions to open source projects with 50+ commits and helping maintain several community repositories.
First place in AI category for developing an innovative real-time sentiment analysis tool for social media monitoring during 48-hour hackathon.
Awarded for outstanding E-commerce Multivendor Website project demonstrating exceptional full-stack development skills and innovative features.
Awarded for developing innovative ML solutions including advanced CNN for traffic sign recognition and collaborative filtering recommendation system.
Achieved Dean's List recognition for maintaining exceptional academic performance with GPA above 3.8 throughout the academic year.
> GitHub Activity
# Real-time development activity and contribution statistics
sports-trend-detection
Real-time sports trend detection platform with Django and Next.js
ecommerce-multivendor
Full-stack e-commerce platform with MERN stack
ml-models-collection
Collection of machine learning models and experiments
feat: add terminal-style theme with dark/light mode toggle
fix: optimize real-time data processing pipeline
docs: update CNN traffic sign recognition documentation
starred zineddine-rebbouh/react-performance-toolkit
refactor: improve API response caching mechanism
Get In Touch
I'm always interested in new opportunities and collaborations. Whether you have a project in mind or just want to chat about technology, feel free to reach out!
Let's Connect
I'm currently available for full-stack development projects, machine learning consulting, and technical leadership roles. I'm particularly interested in projects that combine web development with AI/ML capabilities.
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