Freelancer profile translated to English.
Back to original languageAbout Olfa
I hold a PhD in Artificial Intelligence with over 7 years of experience in designing and developing solutions based on LLMs, RAG, and NLP. I have led several intelligent conversational assistant projects, particularly for regulatory, banking, and energy sectors, integrating advanced approaches like Agentic RAG and Graph RAG. My expertise covers Machine Learning, Deep Learning, multi-agent modeling, and the creation of complex chatbots using IBM Watson, Rasa, and open-source models. I also have solid experience in data science, ranging from sentiment analysis to fraud detection and thematic classification. Certified by IBM (Watson, Cloud Pak, Data Science), I combine sharp technical skills in Python, TensorFlow, PyTorch, and BERT with the ability to understand business challenges and deliver reliable, traceable solutions. Finally, my research work and publications demonstrate recognized expertise in multi-agent simulation and applied artificial intelligence.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- AMFRAG / LLM ConsultantDecember 2024 - Today (1 year and 6 months)Design and implementation of a Conversational Assistant based on LLM, Agentic RAG, and Graph RAG• In-depth analysis of business needs to precisely define the objectives and use cases of a conversational assistant• Construction of a knowledge graph (Graph RAG) automatically from source documents, enabling finer semantic navigation, entity disambiguation, and better traceability of responses.• Design and development of a multi-agent architecture comprising three specialized agents ensuring optimal chatbot performance:◦ Source selection agent: responsible for dynamically identifying and selecting the most relevant documentary sources based on user queries.◦ Response agent: responsible for generating accurate and contextual responses by exclusively utilizing the best selected source.◦ Follow-up suggestion agent: automatically proposing complementary avenues or follow-up questions to deepen exchanges and enhance user experience.
- Orange banqueML Engineer, AI Chatbot Development SpecialistDecember 2021 - November 2024 (3 years)Montreuil, FranceObjective: Design and improve Orange Bank's Djingo chatbot by integrating advanced Machine Learning and NLP models (LLM Mistral 7B, BERT, classification and detection models), to optimize natural language understanding, enrich customer interaction analysis, and automate complex use cases at scale.Mission to implement ML models:• A sentiment analysis model to assess customer satisfaction• A 'Topic classification' model. The model predicts two labels: main topic and sub-topic. The topic determines customer redirection.• An emotion detection model to perform necessary analyses of user logs• A frustration detection model to perform necessary analyses of user logs• An age group prediction model. This model predicts the user's age group from their text input.• A fraud detection model. An AI-based solution that helps detect and prevent fraudulent activities.• A user comment classification model.
- Projets en régieData ScientistApril 2018 - November 2021 (3 years and 7 months)Mission: Design chatbots, NLP, and LLM models applied in banking, energy, and insurance. Expert in prediction, classification, and semantic analysis (fraud, emotions, customer satisfaction) with deployment of solutions in production. Strong experience with Python, RASA, Watson Assistant, TensorFlow, PyTorch environments and leveraging massive data for operational optimization. Accustomed to complex and multi-stakeholder contexts, I transform data into levers for performance and customer experience.
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Education
- Docteur en InformatiqueINSTITUT SUPERIEUR DE GESTION DE TUNIS2018Docteur en Informatique
- Master en InformatiqueINSTITUT SUPERIEUR DE GESTION DE TUNIS2010Master en Informatique