About Amine
French
Native or bilingual
English
Native or bilingual
Experience
- L'Oréal SA - L'Oréal FranceAI EngineerLUXURY GOODSMarch 2026 - Today (3 months)Paris, FranceData/AI engineering on the group's GenAI Agentic Platform, building and integrating agentic components in a multi-model environment on Google Cloud.
- GraphRAG & Knowledge Layer: Designed and built a GraphRAG layer on Neo4j to power retrieval and reasoning across the platform's agents.
- Tools & MCP Integration: Built and integrated custom tools and MCP servers connecting agents to internal business systems, using Google ADK and FastAPI.
- Eiffage immobilierAI EngineerREAL ESTATEOctober 2025 - February 2026 (4 months)Paris, FranceData/AI engineering on the group's GenAI platform on Google Cloud, building and integrating its agentic components.
- GenAI Platform Engineering: Engineered data/AI components for the group's Agentic AI platform on Google Cloud (Vertex AI), in a multi-model environment running Gemini, Claude and OpenAI models.
- Tools & MCP Integration: Built and integrated custom tools and MCP servers connecting agents to internal business systems, using ADK and FastAPI.
- Cloud Deployment: Deployed and integrated services on GCP, navigating on-premise and datacenter constraints to ship on existing infrastructure.
- Coding Assistant Best Practices: Defined best practices for coding assistant agent configuration, improving developer workflows and output consistency across the team.
- Knowledge Transfer: Finalized technical deliverables and ran handover sessions to ensure continuity at mission close.
- BaloiseAI EngineerBANKING AND INSURANCEMarch 2025 - September 2025 (6 months)Paris, FranceTechnical leadership and architecture for the AI solution processing client files, from design to industrialization, to transform and accelerate risk analysis.
- Modular Analysis Pipeline Architecture: Designed a multi-stage processing pipeline using a fleet of Qwen-VL family models of varying sizes. Each task is assigned to the lightest and fastest model meeting the requirements, drastically optimizing overall speed and computational costs without any compromise on accuracy.
- Document Processing Automation: Orchestrated the analysis chain, from automatic document classification and page indexing, to high-fidelity data extraction from scanned documents.
- Proactive Control and Alert System: Developed cross-validation modules that automatically raise alerts for case managers when inconsistencies are detected between documents (e.g., name discrepancies, address mismatches) or file completeness risks.
- Decision Support & Traceability: Generated an auditable summary document at the end of the pipeline that revolutionized the initial verification process. This report includes the final risk score, with automatic alerts for high-risk levels and dynamic hyperlinks pointing directly to the source of each piece of information in the original documents, drastically reducing manual verification time.
- Robust Technical Foundation: Deployed this solution on on-premise infrastructure using Llama.cpp (performance and structured generation), combined with quantization and GPU offloading techniques to ensure smooth execution on existing hardware.
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Education
- Engineering Degree in Data Science and AIEcole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT
- Bachelor’s Degree in FinanceÉcole Supérieure des Sciences Economiques et Commerciales de Tunis
Certifications
- Professional Machine Learning Engineer CertificationGoogle2025
- Professional Data Engineer CertificationGoogle2024