Moudnib Chaymae

Led a cross-functional team of 7 web and mobile developers in building AI-driven features for the World Power-to-X Summit digital platform. Organized team meetings, structured workflows, and ensured seamless coordination between web and mobile development. Designed and implemented two AI-powered features User Suggestions and an AI Agenda leveraging LLMs, Qdrant, and FastAPI for intelligent user experiences. Created intuitive UX/UI dashboards and implemented the frontend using React, ensuring responsive and engaging user interfaces. Integrated backend endpoints into the web application for real-time and data-driven dashboard functionality.

Gained hands-on experience in designing AI system architectures, from high-level frameworks to detailed implementations, using tools like D2 and Mermaid. Explored large language models (LLMs) and deep learning concepts in practical applications.

Risk prediction and trend detection for accidents using machine learning models with Python. Power BI will be used for visualization, and model performance will be measured using metrics such as AUC, accuracy, and specificity.

Internship in Internal Communication and Functional Role Analysis at the Directorate of Customs and Indirect Taxes. Responsibilities: managing and optimizing internal communication channels, creating communication materials for employees, studying the roles and responsibilities of internal functions, and recommending improvements for operational efficiency.