ISMAIL TACHAFINE

Automated retro-documentation of internal projects using the Agno agentic AI framework, integrated with an interactive Angular-based chatbot. The system incorporates PostgreSQL-based user management and MongoDB for per-user session history and memory, enabling responses grounded in both the generated documentation and prior interactions.

Developed a resume analyzer leveraging Azure OpenAI LLM and Azure AI Search with Retrieval-Augmented Generation, featuring a React-based interactive chat interface, PostgreSQL-powered user management, and a profile-matching system that evaluates candidate resumes stored in Azure Blob Storage against job descriptions to deliver accurate assessments and streamlined recruitment experiences.

Conception of an In-Car Autonomous Assistant System (ICAAS): A smart driving assistant that interacts with the driver in real-time, monitors location, traffic, weather, battery level, and driver behavior to provide timely alerts, suggest nearby charging stations or rest areas, and ensure a safer, more efficient journey.

Development of an AI-powered application to analyze constraints in the international supply chain within the aerospace industry.

Implementation of a chatbot based on LLMs and RAG to provide instant and personalized assistance to new employees, ensuring a smooth and efficient onboarding.