Freelancer profile translated to English.
Back to original languageAbout Stive Romarique
🎯 Data & Artificial Intelligence Engineer, I design and deploy innovative solutions for the digital transformation of companies.
🔍 Specializing in NLP, Machine Learning, and intelligent systems, I have developed sharp expertise in creating chatbots enhanced by RAG and Graph-RAG, combining performance, documentary relevance, and workflow automation.
🚀 From the ideation phase to production, I work in agile environments to transform your data into concrete and measurable decision-making levers.
👉 Looking for a technical and strategic partner for your AI projects? Let's talk!
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- MetapolisAI ConsultantTECHJanuary 2025 - Today (1 year and 5 months)Paris, France
Development of GenAI solutions (LLM/RAG) - MĂ©tapolis
- Design and deployment of a RAG (Retrieval-Augmented Generation) architecture intelligent assistant:
1) Backend: FastAPI API for extracting/processing +10,000 documents (SharePoint via LangChain).2) NLP/Embeddings: Preprocessing (parsing, chunking), vectorization (FAISS, Qdrant), and integration of multilingual models (HuggingFace).3) Hybrid Retrieval: Combination of BM25, cosine similarity, and fuzzy matching + re-ranking to improve result relevance.4) LLM Integration: Connection to Mistral and GPT for contextual generation, exposed via secure API (multi-user).5) Frontend: Streamlit interface with confidence score, audit trail, and conversation history.6) Integration: AI Chatbot (API) into internal tools (Slack).AI Project Manager - ĂŽle-de-France Region
Mission:Implementation of AI solutionDesign & Deployment- Management of the GenIAL project: internal multimodal platform (Llama 2, Mistral, DeepSeek, GPT) to:
1) Prevent leaks to public AIs (e.g., ChatGPT).2) Ensure sovereignty through local hosting & partnerships (Beewant).3) Unify LLM access with GDPR processing.Strategic Use Cases- Identification and exploration of 15+ business use cases:
1) Chatbot based on RAG/GraphRAG for regional aid.2) AI for recruitment optimization.3) Intelligent classification of applications.- Deliverables: Key POCs moved to production, with tracking of adoption metrics.
AI Academy - Training & Adoption- Design of the "AI Academy" program for 200+ employees:
Key Modules:1) Business-oriented prompt engineering2) Security & Leak Prevention3) Advanced training on GenIALImpact:Increased efficiency and identification of new use cases. - TOTEM FRANCEAI Solution Project Manager/DeveloperTELECOMMUNICATIONSMay 2024 - September 2024 (4 months)94800 Villejuif, France
AI & Document Automation Projects
*Developmentof an automatic data extraction model from 20,000 scanned invoices, using an OCR solution combining Tesseract, Surya, and Python scripts.→Result: 75% of invoices processed automatically.*Scoping AI use cases with business departments:facilitating workshops, gathering requirements, writing functional and technical specifications.*Co-creation of a fraud detection POCthrough image analysis with an IT service partner (CODITTY): managing technical exchanges and delivery milestones.Technological watch on document automation and intelligent processing solutions.Data Visualization – Data Viz Service
- Design and deployment of Power BI dashboards meeting business needs.
- Writing complex queries in Power Query to prepare and transform necessary data.
- Workshops with business users to define key indicators and optimize user experience.
- Continuous monitoring and adaptation of reports according to evolving needs.
- IIM Digital SchoolJunior BI DeveloperEDUCATION AND E-LEARNINGSeptember 2023 - December 2023 (3 months)92400 Courbevoie, France
- Management of a development project for a web application dedicated to managing vehicle-related documents (maintenance, insurance, sales, repairs).
- Implementation of agile methodology (Scrum): facilitating ceremonies (daily, sprint planning, reviews), backlog prioritization, writing user stories.
- Gathering user requirements, functional analysis, and managing field feedback to evolve the product.
- Coordination of multidisciplinary teams (UI/UX designers, front-end and back-end developers) to ensure product consistency.
- Monitoring and validation of deliverables at each iteration, functional testing, and product quality assurance.
- Writing product documentation (functional specifications, roadmap, test plan).
Constant focus on user value, customer experience, and strategic product alignment.
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Education
- Master 2 in Digital Transformation ManagementInstitut de l'Internet et du Multimedia
- Engineer in Data and Artificial IntelligenceEcole Superieure d'Ingenieur Leonard de Vinci