Narjis Akhayat

Stage PFE (Final Year Project Internship) • Designed and deployed a production-grade RAG (Retrieval-Augmented Generation) system for semantic search over internal railway documents, significantly reducing manual document lookup time. • Built an end-to-end document ingestion pipeline covering PDF parsing, text extraction, chunking strategies, and embedding generation using transformer-based models.

• Built a data-driven Legal Contract Predictor using NLP and predictive modelling to automate classification and evaluation of legal documents. • Applied text preprocessing, feature extraction, and supervised ML models to streamline contract review workflows and reduce manual evaluation effort. • Delivered a reliable, production-ready prediction pipeline integrated into the organisation's document

• Enhanced an AI-powered chatbot using NLP and machine learning to improve response quality and user interaction flows. • Implemented web scraping pipelines to enrich the chatbot's knowledge base with up-to-date domain-specific content. • Gained hands-on experience with LLM integration, big data tooling, and conversational AI architectures.

• Built and maintained internal software tools; resolved technical issues and optimised existing codebase performance. • Collaborated with senior engineers on new feature development and contributed to technical decisions in team meetings.