Linda Sakouhi

I’m a 4th-year AI Engineering student at ESPRIT, focused on building practical AI systems through machine learning, deep learning, and data analytics. I enjoy turning complex data into reliable, production-ready solutions—especially with generative AI and LLM-based workflows.

In my internship at RFC Tunis, I designed and developed an AI chatbot with a complete RAG pipeline in Python. I handled document processing, contextual retrieval, intelligent response generation, and production deployment through backend integration.

I also built end-to-end products during my internship as a Full-Stack Web Developer, delivering a hotel management application using React for the frontend, Spring Boot for the backend, and MongoDB for the database. Working end-to-end strengthened my ability to translate requirements into working systems with cross-functional collaboration.

My projects deepen my expertise in ML pipelines, NLP, and computer vision—ranging from Smart Hospital Analytics dashboards and model optimization to AI Recipe Generation with image detection, and AIGIS for multimodal threat analysis. I’m especially motivated by creating innovative AI-based solutions and improving prediction quality through rigorous experimentation and evaluation.