Houda Debza

Software Engineer | Full-Stack Developer | JavaScript/TypeScript | React, Node.js, NestJS

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houdadebza8@gmail.com · +213549194880 · Bejaia, Algeria · LinkedIn · GitHub

Summary

Full Stack Developer with expertise in JavaScript/TypeScript, React, Next.js, Node.js, and NestJS, specializing in building scalable web applications and RESTful APIs. Experienced in designing microservices architectures, implementing authentication and authorization systems, and developing real-time applications. Strong background in performance optimization, API design, and distributed systems, with experience in Agile environments, version control (Git), and collaborative software development.

Education

Master of Science (M.S.) in Computer Science

Higher School of Computer Science (ESI-SBA) · Sidi Bel Abbes, Algeria

Sep 2019 – Sep 2025

  • Final Year Project:Multi-Platform Fake Profile Detection System” Developed an intelligent system for detecting fake profiles across multiple social platforms by combining Machine Learning (ML), Deep Learning (DL), and metaheuristic optimization techniques. The system analyzes user data, behavioral patterns, and multi-platform information to significantly improve detection accuracy.

  • Key Contributions:

    • Designed and implemented a complete end-to-end pipeline including data preprocessing, feature engineering, model training, and evaluation.
    • Applied metaheuristic algorithms for optimal feature selection, enhancing model performance and reducing dimensionality.
    • Built and compared multiple ML and DL classification models for robust fake profile detection.
    • Developed a production-ready backend API using FastAPI to serve the trained models and enable real-time predictions.
    • Created a simple frontend interface with Next.js for user interaction and system demonstration.
    • Deployed the system to simulate real-world usage and real-time inference.

This project provided hands-on experience in integrating AI techniques with optimization methods and deploying scalable intelligent systems in a practical environment.

Experience

Internship

Data Intuition · Remote

Aug 2023 – Sep 2023

Internship focused on frontend engineering, UI/UX design, and collaborative development.

  • Conducted requirements analysis and translated business needs into technical specifications.
  • Designed responsive user interfaces using Figma and modern UI/UX principles.
  • Developed reusable React components using JavaScript and TypeScript.
  • Produced technical documentation using LaTeX for knowledge transfer and maintainability.
FigmaReact.js

Projects

Westore – Real-Time Location-Based Marketplace Platform

Full-stack marketplace platform with real-time communication and scalable architecture.

  • Built a scalable full-stack application using Turborepo, NestJS, React, and Next.js with modular and clean architecture.
  • Implemented RESTful APIs and real-time communication using Socket.IO.
  • Designed authentication and authorization system using JWT and role-based access control.
  • Integrated Supabase Storage and MySQL with Drizzle ORM for efficient data handling and media uploads.
  • Developed responsive UI with city-based filtering, improving product discovery efficiency.
Next.jsNest.jsTurborepoSocket.ioresend

Multi-Platform Fake Profile Detection System

AI-powered system for detecting fake social media profiles using ML and optimization algorithms.

  • Designed and implemented a machine learning system using 6 ML algorithms and 18+ metaheuristic optimization techniques.
  • Built RESTful API using FastAPI for real-time predictions and model serving.
  • Developed Next.js frontend for visualization and interaction with prediction system.
  • Applied feature engineering and model optimization, improving classification accuracy by X% over baseline models.
  • Evaluated performance across multiple datasets and data splits for robustness.
Next.jsFastAPIMachine LearningDeep LearningMetaheuristic Optimization

MediSphere – Medical Appointment Management Platform

Microservices-based medical platform with real-time scheduling and advanced search capabilities.

  • Designed and implemented microservices architecture for scalable appointment management system.
  • Developed RESTful APIs and API gateway communication between services.
  • Integrated Elasticsearch.
  • Implemented event-driven architecture using Apache Kafka for notifications and asynchronous workflows.
  • Managed multi-database system (PostgreSQL, MySQL, MongoDB) with optimized data access.
Spring BootNode.jsExpressVue.jsElasticsearchPostgreSQLMySQLMongoDBApache Kafka