About Grégoire
- Automatic quotes and invoices
- Lead qualification and enrichment
- Customer relations & audience management: reviews, messages, comments
- Meetings transcribed, summarized, actions assigned
- Weekly competitive intelligence
- Multi-agent orchestration: specialized agents that plan, execute, and monitor each other
- Harness, loop, context & prompt engineering, RAG, MCP: framed agents, connected to your documents, your tools, and your business rules
- Safeguards & security: human validation, access and cost control
- Expertise in Claude (Anthropic) and Gemini (Google): custom MCP servers, multi-model orchestration based on cost/latency/quality
- Product & UX/UI framing
- Full-stack development: web or mobile, backend, database
- Integrated AI (OCR, LLM, intelligent search, ...)
- Deployment
- Written brief before building
- Short iterations, tested on your real data
- Your validation rules integrated into the system
- Delivery and final autonomy: documentation, handover, training
English
Native or bilingual
Spanish
Basic
Portuguese
Basic
French
Native or bilingual
Experience
- Professeur Assistant — Formations IA, Agents & Data ScienceLe Wagon For BusinessJune 2026 - Today (2 months)
- Pedagogical support for professionals and senior executives (50+ people trained, including decision-makers / C-level) on intensive programs dedicated toGenerative AI, agentic systems, and data science
- Live technical support during hands-on workshops:code and prompt review, debugging, unblockingparticipants on their real-world use cases
- Translation of technical concepts (**LLM, RAG, agents, multi-model orchestration**) into actionable business applications, adapted to the level and sector of each participant
- Contribution to the structuring / improvement of educational materials
- Ingénieur IA / AI Product Builder IndépendantIndependent AI Engineer / AI Product BuilderJanuary 2026 - Today (7 months)*Design and App Store publicationof Safoo (food waste reduction) and Let Go (mental well-being): product framing, UX/UI, backend architecture, production deployment, and GDPR/DMA compliance*Architecture and deployment of AI multi-agent systems(Claude Managed Agent, n8n): orchestrated architecture across 3 layers (planning, execution, validation), composition of 10+ specialized agents per request, vector database indexing 10k+ documents for RAG, Human-in-the-Loop validation on critical steps, conversion of natural language instructions into executable workflows, to automate task chains (analysis, synthesis, generation)*Industrialization of end-to-end Python automations: competitive and sector intelligence (multi-source scheduled scraping, LLM analysis, weekly email/Slack digest); automated management of Google reviews for restaurants (Google Business Profile API, sentiment + thematic classification, brand-aligned response generation, Human-in-the-Loop validation on sensitive reviews); Google Ads performance reporting on multi-account portfolios (API aggregation, custom PDF reports sent automatically); large-scale visual content production (Midjourney, DALL-E, templating, multi-platform publishing); automated meeting summarization (Whisper transcription, action item extraction with ownership, Notion/Slack distribution)*In-depth expertise in Generative AI ecosystems(Claude Anthropic, Gemini Google): advanced mastery of Claude Code (custom commands, skills, plugins, custom MCP server development), advanced prompt engineering, multi-model orchestration based on use case constraints (cost, latency, quality)*Design and production of end-to-end ML / Deep Learning models: NLP pipelines (sentiment analysis with LSTM/CNN architectures on BigQuery, exposed via FastAPI API deployed on GCP)
- Référent IA - Consultant SEALabeliumSeptember 2024 - September 2025 (1 year)10th arrondissement, 75010 Paris, France*Design and deployment of automation scripts(Python, Google Ads Scripts, API): KPI drift detection, negative keyword management, reporting generation*Prototyping of AI agentsapplied to Google Ads account management (particularly contextual keyword generation for brands/products): Python stack + Claude API + Google Ads API, multi-step orchestration with Human-in-the-Loop validation*Internal AI Referent: use case framing and prioritization, POC management, team training, and prompt engineering practices standardization*Management of data-driven advertising campaignsfor major clients (Sephora, Dim, Frame): media strategy, budget management, and optimization across multi-account portfolios
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Education
- Data Science & AI EngineeringLe Wagon, RNCP 62025- Cycle complet de projets Data Science : du cadrage business au déploiement en production - Data Engineering : préparation des données et des features, SQL, pipelines ETL - Maîtrise et fine tuning des algorithmes ML supervisés/non-supervisés et architectures Deep Learning - MLOps : containérisation (Docker), création d'APIs, déploiement cloud (GCP), monitoring
- MBA Management AIDeVinci Executive Education2025Spécialisation en gestion de projet IA et Data Management - Performances stratégiques de l’IA : Deep Leaning et Machine Learning , Data management, Cloud (Azure, AWS), Python - Piloter et gérer un projet IA : Méthode Agile, Lean Startup, Cadrer, Superviser, Déployer, Outils et Techniques de management - Compétences additionnelles : Conduite du changement, IA responsable (ESG)
Certifications
- Google AnalyticsGoogle2023
- Google AdsGoogle2024