Freelancer profile translated to English.
Back to original languageAbout Ouael
AI Engineer Consultant with 4 years of multi-sector experience (Retail, Insurance, Automotive, Luxury, and Telecommunications) in delivering end-to-end AI/ML projects, from client scoping to production deployment. Focused on concrete impact, I ensure the effective adoption of developed solutions by end-users. Also a part-time lecturer in Big Data, with a strong aptitude for pedagogy and simplification.
My areas of expertise cover a wide spectrum of use cases: Machine Learning, Data Engineering, GenAI, RAG, AI Agents, Time Series, Recommendation Systems, Scoring, as well as Operations Research and Optimization.
French
Native or bilingual
English
Fluent
Spanish
Fluent
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- APICIL EPARGNEAI Engineer - Integration of AI Agents in Teams and OutlookBANKING AND INSURANCEMarch 2026 - Today (4 months)Paris, FranceContext
- Integration of AI agents (Email Drafting Assistant, Meeting Summary Assistant, and Generalist Assistant) into Microsoft Teams and Outlook to accelerate the adoption of AI tools by APICIL employees.
Missions- Development of a FastAPI backend for routing AI agents via Azure Bot Service and Azure Web Service, with Graph API integration for retrieving contextual data (meeting transcripts and user information).
- Development of an Outlook plugin (Taskpane) and a Teams application allowing users to interact with the agents directly from their Teams or Outlook environment.
Technical EnvironmentAzure, Entra ID, GraphAPI, BotService, FastAPI, Python, JavaScript. - VOLVO CARS FRANCEAI Engineer - Documentary AIAUTOMOBILEJune 2025 - January 2026 (7 months)Context
- Development of a documentary search system allowing Volvo dealerships to find complex information on over 200,000 documents in real-time (promo eligibility by model and options, discount stacking conditions, technical specifications, and user guides).
Missions- Designed and deployed a complete ingestion and indexing pipeline: web scraping (BeautifulSoup), SharePoint ingestion via Graph API, parsing and chunking with LangChain and PyMuPDF, metadata storage on MongoDB, vector indexing in Azure AI Search, with differential embedding refresh.
- Deployed a production-ready application (FastAPI + Streamlit, Docker) with GitLab CI/CD on Azure Container Apps and reproducible RAG infrastructure via Terraform. Secured the solution via SSO authentication and permission management with Azure Entra ID.
Technical EnvironmentAzure, AI Foundry, Azure AI Search, OpenAI LangChain, MongoDB, Docker, BeautifulSoup, FastAPI, Terraform, Streamlit, CI/CD, GitLab - MARJANEData Scientist - Forecast and OptimizationRETAIL (LARGE RETAILERS)January 2023 - June 2024 (1 year and 5 months)Missions
- Designed and deployed with OR-Tools an ILP optimization algorithm for assortments of over 50K SKUs across more than 120 stores, reducing assortment planning time for category managers for a SKU family from 2 months to 2 weeks, with a projected annual impact of over €2M.
- Designed and deployed a daily sales forecasting algorithm (+2K SKUs, +150 stores) enriched with promotional and seasonal features, with an order recommendation engine aligned with business and logistical constraints.
Technical EnvironmentDatabricks, Azure, PySpark, OR-Tools, Operations Research, Xgboost, Time Series Forecast.
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Education
- Master 2University of Reims Champagne Ardenne2022Master 2
- CloudProfessional Machine Learning EngineerGoogleCloudProfessional Machine Learning Engineer
Certifications
- Professional Machine Learning EngineerGoogle Cloud Platform2024