Ahmed Mnasri

Developed a Sentiment-Aware Digital Twin AI Agent capable of simulating human-like behavior from descriptive user input. Created dynamic AI personas with long-term memory, tone alignment, and real-time reasoning. Integrated Retrieval-Augmented Generation (RAG) with embeddings to provide context-enriched responses. Designed and tested the system on Kaggle, then deployed it to a Linux production server via PuTTY SSH for remote execution and real-time interaction. Utilized Python, Hugging Face, FAISS, Transformers, Prompt Engineering. Delivered example use cases in education and healthcare, ensuring emotionally consistent and technically accurate responses.

Designed and developed a professional website for a startup to showcase services and engage clients. Enhanced Advanced Conveyor Engineering's website by optimizing performance, implementing security measures, and improving user engagement.

Worked on developing a robust authentication and authorization system for an online learning application based on Django. The project aimed to enhance security and efficiency, ensuring user data protection and restricting access to authorized individuals only. Key contributions included implementing secure login processes and optimizing user access control features.