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Zaineb B. — Mid-Level AI Consultant from Tunisia

Zaineb B.

Mid-Level AI Consultant

Tunisia 3-6 years
Open to offersNew to Platform
Languages
FrenchArabic
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About

Zaineb B. is a seasoned Ingénieure IA with a focus on generative AI and machine learning in startup and consultancy environments. She has designed and optimized LLM architectures such as RAG and fine-tuning with PEFT/LoRA, as well as developed computer vision solutions using YOLO and OpenCV, integrating vector databases like ChromaDB for multimodal applications. At FULL REMOTE FACTORY, Zaineb led the development of an HR chatbot using GPT-4/Llama 2 and improved recruitment processes, created a legal question-answering system leveraging vector search, and built a real-time sports video analysis prototype. Working with DATS connexion in Montréal, she deployed modular RAG pipelines for HR and tabular data analytics, and engineered intelligent document querying solutions using Docker, ChromaDB, and Python. Her background also includes data scientist roles at FOUITA and CLIKERP, focusing on API development and OCR-based systems in SaaS, hospitality, and legal domains.

Experience

  • Ingénieure IA Freelance

    DATS connexion · 2025 — 2025
    Designed and deployed modular, scalable RAG solutions for business use cases (HR, tabular data analysis), focusing on reproducibility and operational efficiency. Developed an Open WebUI solution with RAG pipeline for intelligent querying of HR documents (PDF, CSV), deployed via Docker. Created an intelligent agent to analyze and respond to inquiries on tabular data (Excel, CSV), featuring a FastAPI and complete technical documentation.
  • Consultante Data & IA

    FULL REMOTE FACTORY Startup Franco-Tunisienne · 2023 — Present
    Developed an HR chatbot (IATU) utilizing GPT-4/Llama 2 and RAG (ChromaDB) to enhance recommendation relevance by 40% while decreasing recruitment time by 30%. Implemented a vector search system for sourced legal responses (LINGUO), achieving 92% accuracy, alongside a secured backend (JWT) that meets legal requirements. Created a real-time video analysis prototype for sports, optimizing YOLOv8 and streaming through WebSocket, showcased at a tech event in France.
  • Data Scientist

    FOUITA · 2022 — 2023
    Designed a no-code web widget generation system, cutting development time by 50%. Engaged in multimodal modeling and developed AI APIs incorporating continuous user feedback, improving user experience by 35%.
  • Data Scientist

    CLIKERP · 2020 — 2021
    Developed an ANPR system (YOLO + Tesseract OCR) for detecting Tunisian license plates, achieving 95% accuracy. Established a REST service for structured data extraction from invoices, minimizing manual errors by 60%. Launched a hotel chatbot using Rasa, automating 70% of common customer requests.
  • Data Scientist (Stage PFE)

    WEVIOO · 2020 — 2020
    Created an automated CV analysis platform that reduced processing time by 75%. Developed OCR/NLP pipelines (PyTesseract, Spacy) and deployed solutions using Flask and MongoDB.

Skills & Expertise

Education

  • Ingénieur du Développement du Logiciel
    Institut Supérieur Informatique de Tunis (ISI Tunis) · — — 2020
  • Licence Fondamentale en Science de l’Informatique
    Institut Supérieur Informatique de Tunis (ISI Tunis) · — — 2017
  • Baccalauréat
    Tunisie · — — 2014