Summary
Wiem Rebhi is an AI Engineer with nine years of experience specializing in deep learning, NLP, and production AI systems, currently building scalable solutions at SOASY. With a Master's in Data Science and an engineering degree in Applied Mathematics from ENSIT, she has a track record of fine-tuning LLMs (GPT-4, Gemini, LLaMA), extracting complex KPIs from enterprise systems, and deploying Django APIs and Vue.js dashboards for real-time analytics. Her work spans practical NLP for dialect detection, multi-language chatbots, and hierarchical text-layout recognition with speech synthesis, reflecting both research depth and product focus. Known for automating integrations with systems like SAP and Sage X3, she blends data engineering rigor with a developer’s toolkit across Python, R, SQL/NoSQL, and OpenCV. Colleagues describe her as curious and driven, equally comfortable iterating models and shipping user-facing features.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Data science, Master's degree, Data science at Ecole nationale supérieure des ingénieurs de Tunis - Ensit
Diplôme d'ingénieur, mathématiques appliquée et modélisation, Diplôme d'ingénieur, mathématiques appliquée et modélisation at Ecole nationale supérieure des ingénieurs de Tunis