Freelancer profile translated to English.
Back to original languageAbout Ismail
As an AI Engineer with dual expertise in Data Science and Data Engineering, I have acquired the necessary skills to leverage your data, develop artificial intelligence solutions, and deploy them effectively in the cloud (Azure). I can be involved in the entire data project lifecycle: from data exploration to the production of machine learning models, including LLMs.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km), Lille (up to 10km), Bordeaux (up to 10km), Lyon (up to 10km)
Experience
- ERAMETAI Engineer | Computer vision Engineer | LLMRAW MATERIALS INDUSTRYNovember 2024 - Today (1 year and 9 months)Paris, FranceIntelligent Document Processing
- Design, development, and deployment onAzureof a solution for automated information extraction from documents (invoices, logs, etc.) usingLLMand **Document Intelligence**.
- Implementation of a conversationalchatbotbased onRAG(Retrieval-Augmented Generation) techniques usingPromptflowand **Azure Search**.
- Design and optimization of prompts (**Prompt Engineering**).
- Use ofOCRand image preprocessing techniques to improve text recognition and data analysis.
Anomaly Detection in Images- Development of an AI-based system to detect structural anomalies in railway infrastructure using deep learning models.
- Training and optimization ofYOLOandFast R-CNNmodels to accurately identify defects on railway tracks.
- BNP Paribas CIBMachine learning EngineerBANKING AND INSURANCESeptember 2023 - October 2024 (1 year and 1 month)Paris, FranceFine-tuning of language models (LLM) for information extraction from banking documents• Development and training of models based on RoBERTa and LayoutLM to extract information from structured and semi-structured documents.• Monitoring experiments and managing model versions using MLflow, ensuring complete traceability of performance and iterations.• Production deployment of trained models using Kubernetes, Docker containers, and robust CI/CD pipelines.• Analysis of model performance in production and continuous optimization (F1-score, precision, recall) to meet business requirements.
- Société GénéraleData Scientist | Data EngineerBANKING AND INSURANCEMay 2022 - September 2023 (1 year and 4 months)Paris, France- Design and implementation of a customer relationship churn detection model.- Setup of a data extraction and processing pipeline using Pyspark.- Design and implementation of a solution for generating reporting files and automatically sending them to account managers via Teams channels.- Collaboration with IT for project deployment and industrialization.- Participation in R&D workshops to leverage GenAI for banking (e.g., using LLMs to generate documentation).
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Education
- Specialized Master® Big Data: management and analysis of massive dataTélécom Paris2021Mastère Spécialisé® Big Data : gestion et analyse des données massives
- Engineering degree, Computer ScienceENSEIRB-MATMECA2020Diplôme d'ingénieur, Informatique