À propos de Abderrahim
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Expériences
- CELLENZASenior AI EngineerCONSEIL & AUDITseptembre 2024 - Aujourd'hui (1 an et 9 mois)Paris, FranceAt Cellenza, I worked as an AI Architect and MLOps Architect on innovative projects across energy, tourism, healthcare, industry, retail, and software publishing. I designed and deployed solutions using generative AI, NLP, and computer vision, with a strong focus on industrialization, scalability, and security of Azure-based architectures.In the energy sector, I developed an intelligent search engine combining Azure AI Search, OCR, and CI/CD to process multi-format documents efficiently and securely. In tourism, I created a conversational agent on WhatsApp using a RAG architecture with Azure OpenAI and Azure AI Search, while coordinating teams as technical leader to ensure timely delivery. In healthcare, I built a voicebot for call centers with two variants (real-time GPT-4o streaming and classic Speech-to-Text/Text-to-Speech), improving patient interactions and response times.For the industrial domain, I designed a private chatbot based on Retrieval-Augmented Generation, deployed a secure Azure cloud architecture, automated with Terraform, and led workshops to align business and technical stakeholders. In retail, I created a custom indexer integrated with SharePoint, enabling automatic updates of a knowledge base connected to an RAG chatbot, ensuring relevance and freshness of responses. Finally, in the software publishing sector, I delivered a complete MLOps platform to industrialize the ML lifecycle, implementing automated pipelines for ingestion, training, inference, and versioning, plus MLflow monitoring to track experiments and detect drifts.Across these missions, I combined technical expertise with leadership, managing end-to-end delivery, coordinating cross-functional teams, and delivering robust, innovative, and business-oriented AI solutions.
- Fortia Financial SolutionsLead Data ScientistEDITION DE LOGICIELSoctobre 2018 - avril 2023 (4 ans et 6 mois)Paris, France- • NLP : Name Entity Recognition, Sentence Classification, Sentiment analysis, Text Generation..- • Computer Vision : Image Recognition.- • Devops : Microservices, REST APIs, Deployment on Azure Cloud.
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Formations
- Master Mathématiques Vision Apprentissage (MVA)École Normale Supérieure Paris Sacaly2018
- Ingénieur en Data ScienceEcole centrale de Lille2017
Certifications
- DP-100: Azure Data Scientist AssociateMicrosoft2024