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  • High Commission for Digitalization
  • Hydra, Algiers
  • 07:25 (UTC +02:00)

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mohammedhachoud/README.md

Mohammed HACHOUD

AI Engineer | Full-Stack Developer | Data Science Specialist

LinkedIn Email Portfolio Kaggle


πŸ‘¨β€πŸ’» About Me

AI Engineer at the High Commission of Digitalization (Algeria), contributing to national digital transformation initiatives. Specialized in building production-grade AI systems with expertise in Graph Neural Networks, Computer Vision, NLP, and full-stack development.

  • 🏒 Currently developing AI-driven solutions for government digital transformation
  • πŸŽ“ MSc in AI & Data Science from ESI-SBA (2025)
  • πŸ”¬ Research experience in ontology-enhanced GNNs for archaeological classification
  • πŸ’Ό 3+ years of freelance full-stack development
  • 🌍 Based in Algiers, Algeria

πŸš€ Current Focus

  • Developing full-stack applications with React, Node.js, and FastAPI
  • Contributing to Algeria's digital transformation strategy

πŸ› οΈ Tech Stack

AI & Machine Learning

PyTorch TensorFlow Scikit-learn Keras Hugging Face

Specializations: Graph Neural Networks (PyTorch Geometric) β€’ Computer Vision (YOLOv8, Pose Estimation) β€’ NLP (Transformers, RAG) β€’ Reinforcement Learning (DQN)

Full-Stack Development

React Node.js FastAPI Flask Electron

Databases & Tools

PostgreSQL MongoDB Docker Git

Data Science & Visualization

Pandas NumPy OpenCV Streamlit Matplotlib


πŸ† Featured Projects

AI system for archaeological ceramic classification using ontology-enhanced Graph Neural Networks

  • Impact: 98.33% accuracy on 11K+ artifacts
  • Tech: PyTorch Geometric, FastAPI, React, BERT, Knowledge Graphs
  • Role: Graduation Project & Research at LS2N Lab, France

πŸƒ RunRightAI

Computer vision platform for sprinting technique analysis and performance optimization

  • Impact: 4K+ labeled video samples, real-world pose accuracy with homography
  • Tech: YOLOv8, OpenCV, TensorFlow, Flask, RAG
  • Role: Project Manager & Lead Developer

Personalized product ranking with heterogeneous graphs and reinforcement learning

  • Impact: Optimized user experience with DQN-based policy learning
  • Tech: PyTorch Geometric, GATConv, DQN, Web Scraping
  • Role: ML Engineer

Desktop application with biometric authentication for gym operations

  • Tech: Electron, React, FastAPI, SQLite, ZKTeco API
  • Role: Full-Stack Developer

πŸŽ“ Education & Certifications

  • MSc in Artificial Intelligence & Data Science - ESI-SBA (2019-2025)
  • BSc in Computer Science - Sidi el Djilali University (2021-2022)
  • Machine Learning Specialization - DeepLearning.AI

πŸ“« Let's Connect

I'm always interested in collaborating on AI/ML projects, especially those involving Graph Neural Networks, Computer Vision, or production-grade ML systems. Feel free to reach out!


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