Freelancer profile translated to English.
Back to original languageAbout Mahmoud
Data & AI Engineerspecialized in **Generative AI**, **RAG**, and **autonomous agents**.
Based in Lille, I help companies unlock the full potential of large language models (LLMs) by designing intelligent solutions capable of reasoning, acting, and adapting to business needs: document search, response automation, content generation, and much more.
Core Competencies:
- Building RAG (Retrieval-Augmented Generation) systems with LangChain, Qdrant, BM25, and open-source LLMs (DeepSeek, Mistral…)
- Developing autonomous AI agents capable of using tools (APIs, Python functions, databases) to plan and execute complex tasks
- Creating complete AI pipelines: document ingestion, HuggingFace embeddings, hybrid retrieval, augmented generation
- Implementing high-performance APIs with FastAPI, orchestration with Docker, and deployment on cloud servers (IONOS, OVH…)
- Integrating AI into business workflows: intelligent extraction, automation, dynamic generation, etc.
Services Offered:
- Developing chatbots augmented with internal documents (PDFs, customer databases, CRM…)
- Creating multi-tool AI agents to automate tasks (analysis, research, recommendation, form filling…)
- Integrating and orchestrating open-source LLM models into your products or internal tools
- Consulting and technical support for implementing custom RAG systems and AI agents
My Added Value:
I offer a comprehensive and operational approach to generative AI, going far beyond simple chatbots. I design solutions capable of searching, understanding, acting, and interacting autonomously, leveraging internal data or APIs. Each project is designed to be scalable, robust, maintainable, and rapidly deployed on controlled cloud environments.
French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Can work on-site
Lille (up to 50km)
Experience
- InooviaBusiness Data AnalystOctober 2023 - June 2025 (1 year and 8 months)Paris, France
- Design of a multi-tenant RAG engine with dynamic indexing of client documents (PDF) and hybrid search (Qdrant + BM25)
- Development of a FastAPI backend and an intelligent chatbot to answer queries from contractual documents
- Implementation of a complete pipeline: PDF parsing, embedding generation (HuggingFace), vector storage with Qdrant
- Containerized deployment (Docker) on an IONOS cloud VM, with management of backend services and vector database
- Balade Orientale,Data AnalystDecember 2022 - September 2023 (9 months)Paris, FranceSales analysisData centralizationMonitoring of B2B and B2C marketing campaigns 'GoogleAds', 'Meta ADS', 'SnapAds', and 'tiktok ads'Creation of Power BI dashboards to visualize performance indicatorsDatabase, segment, and list managementMarketing automation & Email marketing (Klaviyo)
- Renault Group,Data ScientistNovember 2021 - November 2022 (1 year)78280 Guyancourt, FranceCreation of dashboards for managing paint robot failures in various factories (SpotFire, SQL)Development of a fraud detection model on AWS Cloud using image recognition and OCRPrediction of performance indicator evolution with time seriesExtraction of Google reviews and construction of a BERT model to analyze customer satisfaction.
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Education
- Master of ScienceUniversity of Paris,2022Machine learning et data science, Master
- Computer Science, Bachelor's DegreeUniversity of Paris,2020Informatique, Licence