Freelancer profile translated to English.
Back to original languageAbout Sarahnour
I design and deploy production-ready AI systems and data architectures for companies looking to move from experimentation to real impact.
RAG, AI Agents, custom LLMs, data pipelines, data governance, I handle everything from architecture to implementation, with a results-oriented and scalable approach.
What I concretely bring to you:
- Design of robust data architectures capable of supporting your AI projects in production
- Deployment of RAG and AI Agent systems on your internal data (Azure, Python, LangChain)
- Modeling and structuring of your data to make it scalable and usable
- Implementation of data governance and data quality to secure your data assets
- Integration of AI into your existing systems without starting from scratch
French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual
German
Basic
Can work on-site
Paris (up to 50km), Lille (up to 50km), Lyon (up to 50km), Toulouse (up to 50km), Nantes (up to 50km)
Experience
- Vallourec (AE)Data & AI ArchitectENERGY AND UTILITIESSeptember 2025 - April 2026 (7 months)Meudon, FranceStrategic mission to prepare data assets (+600 applications) for the integration of AI models for steering and application rationalization, data architecture, Python pipelines, and IS governance at the scale of an international industrial group.Design of the target data architecture oriented towards AI (As-Is/To-Be, LeanIX, integration patterns) and implementation of the data governance framework: standards, data quality, guidelines, and SLAs to ensure the reliability of input data for AI systems.Python development of data processing pipelines and deployment of an executive analytics dashboard (36 strategic KPIs, 44 operational KPIs), data foundation designed to feed recommendation AI models.Cross-functional IT/business/security management internationally, collection and formalization of data needs from several departments, executive reporting on program progress.
- AircallAI Engineer | LLM-powered Internal ChatbotSOFTWARE PUBLISHINGOctober 2025 - October 2025Paris, FranceDevelopment of an internal LLM-based chatbot to assist support teams in managing customer requests, from business prompt design to integration into internal tools.Chatbot & Knowledge BaseConnecting the chatbot to an internal knowledge base for contextualized and accurate answers. Design of business prompts adapted to support use cases to improve the quality and speed of responses.Integration & APIImplementation of a query REST API for native integration into existing internal tools. Measurable improvement in response speed and customer support quality.
- ChanelAI & Data Architect | Analytics & AI FactoryLUXURY GOODSApril 2025 - June 2025 (2 months)Neuilly-sur-Seine, FranceMission within Chanel's Digital Europe teams, reporting to the Data, Analytics & AI department; contribution to the creation of a unified Analytics & AI Factory to promote a Data Informed culture across Europe.Analytics & AI FactoryParticipation in structuring a centralized Analytics & AI platform, unifying marketing, e-commerce, and retail data sources. Implementation of the first components of a data environment focused on decision-making for European business teams.AI & Advanced Use CasesIdentification and scoping of AI use cases; LLM, automation, internal assistants. Contribution to the implementation of AI prototypes to validate approaches and integrate models into existing data workflows.Governance & Data ArchitectureDefinition of data standards, quality, structuring, accessibility. Contribution to the implementation of cross-functional KPIs and structuring of a data architecture vision across Europe.
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Education
- Engineering school diploma specializing in applied mathematicsENSIIE2024VERSION FRANÇAISE (FR) Formation d’excellence axée sur l’algorithmique avancée, les architectures de données, le cloud, l’IA, et la modélisation mathématique. Parcours combinant : - Maths appliquées & probabilités (statistiques, optimisation, séries temporelles, modèles stochastiques) - Informatique & systèmes (C++, Python, bases de données, architecture logicielle, réseau) - Data & Machine Learning (analyse de données, modèles prédictifs, automation) - Finance quantitative (modèles financiers, risque, instruments de marché) Cette formation m’a donné une base solide pour concevoir des architectures data/cloud robustes, modéliser des systèmes complexes, et déployer des solutions orientées IA au sein d’environnements techniques exigeants. ----------------------------------------------------- ENGLISH VERSION (EN) Excellence-oriented engineering degree focused on advanced algorithms, data architectures, cloud technologies, AI, and applied mathematical modeling. Coursework combining: - Applied mathematics & probability (statistics, optimization, time series, stochastic models) - Computer science & systems (C++, Python, databases, software architecture, networking) - Data & Machine Learning (data analysis, predictive modeling, automation) - Quantitative finance (financial models, risk analysis, market instruments) This program provided a strong foundation to design robust data/cloud architectures, model complex systems, and deploy AI-driven solutions within demanding technical environments.
- Preparatory classes for engineering schools (CPGE), PCSI/PSILycée Kléber2020VERSION FRANÇAISE (FR) Classe Préparatoire aux Grandes Écoles (CPGE) en filière PCSI/PSI, formation scientifique intensive axée sur les mathématiques, la physique, la modélisation et l’informatique. Programme sélectif développant une forte capacité d’analyse, de résolution de problèmes complexes, de rigueur et d’endurance intellectuelle. Cette formation a constitué le socle méthodologique essentiel pour mes études d’ingénieur et pour mon travail actuel en architecture data/cloud et en IA. ----------------------------------------------------- ENGLISH VERSION (EN) Highly selective scientific preparatory program (PCSI/PSI track) focused on advanced mathematics, physics, modeling, and computer science. An intensive curriculum designed to develop analytical thinking, problem-solving skills, and strong academic rigor. This program built the foundational methodology that supports my engineering background and my current work in data/cloud architecture and AI.