Dean Jaddoe

Aspiring Full-Stack Developer

I’m a second-year IT student passionate about building full-stack applications and continuously learning new technologies.

Currently studying and working on personal and academic projects to sharpen my skills in both front-end and back-end development.

JavaReact & JavaScriptC#PythonDevOps

Frontend Development

  • Modern React Architectures
  • Performance Optimization
  • Responsive & Interactive UIs

Backend Development

  • API Design & Development
  • Database Architecture
  • Real-time Systems

DevOps & Cloud

  • Azure Infrastructure
  • CI/CD Pipelines
  • Scalable Architecture

My Projects

CarAndAll Rental Platform

A web application for CarAndAll, a company that rents cars, caravans, and campers to both businesses and individuals. The platform allows users to browse available vehicles, make real-time reservations, manage bookings, and choose between different rental options with cost breakdowns. Users can also track approval status and manage cancellations or returns through the front office.

Frontend Architecture

  • • Built with React, HTML, and CSS
  • • Responsive design using media queries
  • • Real-time reservation visibility
  • • Role-based user interfaces

Backend Systems

  • • Developed using C# and ASP.NET
  • • Secure authentication
  • • Swagger API documentation
  • • Role separation

Key Achievements

  • • Strong focus on authentication and user security
  • • Optimized performance with fast load times
  • • Fully responsive across all screen sizes

System Architecture

React Frontend (Responsive UI with HTML/CSS)ASP.NET Core API (Reservations, Admin & Auth)Token-Based Authentication & AuthorizationRental DB (SQL Server)User DB (SQL Server)Swagger API Documentation

Gender Prediction from Facial Images

A machine learning model that predicts a person's gender (male or female) based on a facial image. Developed as a learning project for computer vision and deep learning using TensorFlow and the UTKFace dataset. The entire process from preprocessing to model training and evaluation is documented in a Jupyter Notebook.

Try the live demo at deanj.dev/geslacht-ai

Model Architecture

  • • Convolutional Neural Network
  • • ReLU functions with MaxPooling
  • • Dense layer with dropout
  • • Sigmoid output

Training & Dataset

  • • Dataset: UTKFace
  • • Normalized pixel values
  • • 80% training, 10% validation, 10% test
  • • EarlyStopping

Model Architecture Diagram

Input: Face Image (100x100 pixels)3x Convolutional Layers + MaxPoolingDense Layer with Dropout (64 units)Output: Sigmoid Classification (Male / Female)

Proxy Checker

A command-line tool built with Python to test multiple proxy servers against a target URL. It supports various proxy formats, is fully multi-threaded, and can customize headers and timeouts.

Features

  • • Multi-threaded Proxy Testing
  • • Custom Timeouts
  • • Random User-Agent Support
  • • Output to File

Drivers License Notification Bot

Python script that automatically checks for available slots for applying for or picking up your driver's license at the municipality of Zoetermeer. If a new slot becomes available that is earlier than the last checked time, you will receive an instant notification via Discord.

Key Achievements

  • • Automatic checks for driver's license application and pickup slots
  • • Notifications via Discord Webhooks
  • • Cross-platform, works on both Windows and Ubuntu

Backend Systems

  • • Built with Python 3.8+
  • • Selenium for browser automation
  • • Discord Webhooks for notifications

Systeemarchitectuur

Python Script (Automated Requests)Selenium with ChromeDriver (Browser Automation)Discord Webhooks (Real-time Notifications)Cron Job for Automatic Execution (Ubuntu)

Always Learning. Always Building.

I'm a passionate student exploring full-stack development by building real-world projects, experimenting with new tech, and sharing what I learn along the way.

Zoetermeer, ZH
Get in TouchWant to see my resume? Feel free to contact me!