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Abdelmalek05/README.md

Hi, I'm Abdelmalek NEDJAR

AI Engineering Student Β· Full-Stack Developer

Third-year student at ENSIA β€” National School of Artificial Intelligence, Algiers

LinkedIn GitHub


πŸ‘¨β€πŸ’» About Me

I care about building complete, deployable systems β€” not just collecting technologies. Most of my work targets real operational problems, often in healthcare, CRM, or the Algerian market.

  • Full-stack across web, mobile, and desktop, with a backend and AI-integration focus
  • Hands-on with applied ML: trained YOLOv8 for a computer vision security project, built sentiment analysis in PyTorch, did real time-series forecasting and classification
  • Shipped LLM-powered features in production projects β€” including context engineering over patient and consultation data for a clinical assistant
  • Currently exploring AI security and the adversarial robustness of computer vision models

πŸ› οΈ Tech Stack

AI / Machine Learning

Python PyTorch scikit-learn YOLOv8 pandas NumPy LLM APIs

Languages

Python C++ JavaScript TypeScript Dart PHP SQL HTML5 CSS3

Web, Mobile & Desktop

Next.js React Flutter Node.js Express Django Electron

Databases & ORMs

PostgreSQL MySQL SQLite Drizzle

Tools & Platforms

Git Docker AWS Vercel Render Postman Arduino Raspberry Pi


πŸš€ Featured Projects

πŸ›‘οΈ Pixel β€” Adversarial Attacks on Computer Vision Models

A cybersecurity project on the fragility of computer vision models. I trained a YOLOv8 model, then crafted pixel-level perturbations to fool it β€” demonstrating how small, targeted changes break model predictions. Repo Β· Project Site Python YOLOv8 Computer Vision Adversarial ML

🩺 Doctor's Cabinet Management System

A desktop application for medical practices: patient and consultation management, plus an AI assistant powered by Gemini that builds context from patient records and consultation history to support clinical decisions. Demo link coming soon Electron Next.js SQLite Gemini API

πŸ“± CRM Mobile App

A cross-platform CRM with a Flutter front end and a containerized Django REST backend (JWT auth, PostgreSQL). Backend Repo Β· Demo Video Flutter Django PostgreSQL Docker

πŸ“„ AI Resume Analyzer

A web app that parses and scores resumes, surfacing actionable feedback for candidates. The analysis is powered by Claude 3.5 Sonnet. Repo Β· Live App React LLM API Web

πŸ€– Mini CNC Drawing Machine

Built with GDG ENSIA β€” a small CNC machine driven by Arduino and Raspberry Pi that takes a vector image as input and physically draws it. A hands-on dive into automation and embedded systems. Arduino Raspberry Pi Embedded


🌱 Currently Learning

  • Production AI engineering β€” RAG, deployment, inference systems, MLOps
  • System design and scalable backend architecture
  • AI security and adversarial robustness

Career Interests

AI Engineering Β· Full-Stack Software Engineering Β· Backend Development Β· AI Product Development Β· Tech Entrepreneurship


πŸ“« Connect

LinkedIn GitHub

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  1. fire-detection-model fire-detection-model Public

    Wildfire risk classifier for northern Algeria. Builds a 121k-row labelled dataset from NASA FIRMS and Open-Meteo APIs, with matched negative sampling and year-grouped evaluation.

    Jupyter Notebook 2

  2. CVision CVision Public

    An intelligent web application that helps users analyze and improve their resumes using AI. Built with real-time feedback, PDF parsing capabilities, and state-of-the-art UI.

    JavaScript 3

  3. pixel-adversarial-attack pixel-adversarial-attack Public

    Adversarial attacks on a YOLOv8 aircraft detector β€” white-box (FGSM) and black-box (DE patches) attacks on aerial imagery.

    Jupyter Notebook 3 1

  4. drone-based-delivery-optimization drone-based-delivery-optimization Public

    Energy-optimal drone delivery routing over Algiers: a battery-, payload- and no-fly-zone-constrained VRP solved with branch & bound, a genetic algorithm, and simulated annealing, benchmarked on 10 …

    Jupyter Notebook 1

  5. appliance-power-classification appliance-power-classification Public

    Classifying 10 home-appliance types from 1460-step power-consumption traces β€” 97% on the course competition (UCR ACSF1).

    Jupyter Notebook

  6. brent-oil-timeseries brent-oil-timeseries Public

    No ARIMA specification beats a naive random walk on monthly Brent crude. Rolling-origin backtest with Diebold-Mariano and Clark-West tests, in R.

    Jupyter Notebook