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Aziza Neffati

@azizaneffati

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AI engineering student building RAG, multimodal systems, and agentic automation for real-world impact.

Tunisia

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What I'm looking for

I’m seeking a summer internship (June 2026) to contribute to real-world AI projects—RAG, multimodal systems, and agentic automation—while collaborating on hands-on work that strengthens my engineering and technical expertise.

I’m an AI engineering student pursuing an Engineering Degree in Computer Science specializing in Artificial Intelligence at ESPRIT, and I was selected for a double degree at Paris School of Technology and Business in Artificial Intelligence and Machine Learning. I enjoy turning complex AI concepts into usable systems—especially agentic and multimodal solutions.

In my internships, I built an intelligent RAG agent for document Q&A with automatic source citations and a conversational interface, using LLMs and AI Agents with n8n. I also delivered a business decision-making solution for advertising effectiveness with data integration (SSIS), modeling/analysis (SSAS), visualization (Power BI), and predictive modeling in Python, and I created an NLP-powered customer-support chatbot using Python and web scraping.

My projects reflect the same drive: orchestrating a domain-specific multi-agent system (MCP/A2A), developing a multimodal medical assistant with explainable diagnosis and smart geolocation, and applying CNN/deep learning and diffusion models for real-world detection tasks—then deploying with Django and OpenCV. I’m actively seeking a summer internship from June 2026 to contribute to real-world AI projects and further strengthen my technical expertise.

Experience

Work history, roles, and key accomplishments

AI Engineering Intern

Talan

Jul 2025 - Aug 2025 (1 month)

Developed an intelligent RAG (Retrieval-Augmented Generation) agent for document Q&A, with automatic source citations and a conversational interface. Implemented the solution using LLMs, RAG, n8n workflows, and AI agent techniques.

Python LLM RAG Source Citation N8n AI Agents Conversational Interfaces

Business Intelligence Intern

MediaCom

Feb 2024 - May 2024 (3 months)

Designed and implemented a decision-making solution to measure the effectiveness of advertising campaigns on Kiabi sales. Built the pipeline with SSIS, modeled data with SSAS, visualized results in Power BI, and developed predictive models with Python.

SSIS SSAS Power BI predictive modeling Python Data Integration Data Analysis Sales Analytics

Data Science AI Intern

MS Solutions Group

Jul 2023 - Aug 2023 (1 month)

Built a customer-support chatbot for Sodexo using Python, NLP techniques, and web scraping. Focused on implementing chatbot capabilities by combining NLP and automated data retrieval from web sources.

Python Natural Language Processing (NLP)Chatbot Development Web Scraping Customer Support Automation