Amir Salah Eddine Daoudi

• Design and deployment of an RAG system powered by AI agents with LangChain and LangGraph for dynamic workflows.
• Automation of over 200 business processes via n8n and Make, reducing errors and delays.
• Creation of a real-time data-based search engine, increasing efficiency by 40%.

• Design of a complete LMS with the MERN Stack, integrating course management, subscriptions, secure payments, and real-time interactions.
• Automation of learning workflows, including certificate issuance and student performance tracking.
• Deployment of a scalable and secure microservices infrastructure, ensuring high availability.
• Improvement of user engagement by 50%, thanks to interactive features and personalized tracking.

Skills Developed

• Deep learning model development: Design of custom neural networks (AsphaltNet, UNet++) for constrained environments.
• Embedded systems optimization: Deployment on ARM platforms for real-time analysis.
• Database creation and management: Building and enriching datasets dedicated to disaster monitoring.
• Geospatial analysis: Advanced mapping via satellite imagery to assess impacts on infrastructure and populations.

Key Achievements

• AsphaltNet: A lightweight CNN model, optimized for UAVs, combining performance and speed (20x faster with >95% accuracy).
• Expansion of flood and fire mapping capabilities, integrating environmental analyses (CO₂ emissions).
• Solutions tested on real-world cases, providing operational insights for response teams.