Saad Jelbini

Developing cutting-edge NLP solutions within Orange's DATA & AI Division, leveraging Large Language Models (LLMs) and clustering algorithms to detect emerging technical issues in customer conversations. Working on advanced text analytics to improve customer service quality and operational efficiency.

Led knowledge management initiatives within the CNEPE department's Information Systems team. Designed and developed intelligent tools to address user queries from established knowledge bases, including a sophisticated LLM-based chatbot using Retrieval Augmented Generation (RAG) architecture to provide accurate and relevant responses. Key Achievements: -Developed RAG-based chatbot for enhanced user query resolution -Implemented knowledge management solutions using VBA and PowerApps -Improved information retrieval efficiency across the organization

Designed and developed a sophisticated OCR system for detecting and extracting patient names from cardiac surgical surveillance videos. Implemented automated masking techniques to ensure patient confidentiality and GDPR compliance while analyzing textual content including subtitles and on-screen graphics. Key Achievements: -Built advanced OCR system for medical video analysis -Implemented privacy-compliant data anonymization techniques -Ensured regulatory compliance for sensitive healthcare data

Collaborated on developing an intelligent chatbot system through massive textual data analysis. Implemented Large Language Model algorithms for information extraction and trained the chatbot for seamless user interactions, focusing on enhanced user experience and automated customer service scalability. Key Achievements: -Analyzed large-scale textual datasets for chatbot development -Implemented LLM algorithms for intelligent information extraction -Created user-friendly conversational interfaces for customer automation

Contributed to the development of "Virtual Butler," an automated hotel concierge chatbot. Enhanced conversational capabilities and integrated the solution across popular platforms including WhatsApp, Instagram, and Telegram, improving guest experience and operational efficiency. Key Achievements: -Developed multi-platform chatbot integration (WhatsApp, Instagram, Telegram) -Enhanced conversational AI capabilities for hospitality sector -Improved guest service automation and response efficiency