Description

Transformation & AI Strategy Consultant delivering strategic initiatives and complex projects across IT platforms in finance, energy, telecom, and operational excellence in luxury and automotive.

Specialized in bridging business transformation and AI deployment, I help organizations move from scattered AI experiments to structured, cost-conscious, scalable implementations. My approach combines Lean Management foundations, Agile delivery (Scrum, SAFe, Lean Portfolio Management), and a hands-on understanding of what it takes to make AI work in production.

Core expertise spans AI use case prioritization and governance, multi-agent platform architecture design, AI process building and frugal AI practices (TCO frameworks covering build, run, and decommissioning) ; making every LLM choice, every token, and every automation a deliberate cost and impact decision.

Equally experienced in transformation programs, project & portfolio management, operating model design, and executive reporting, with a strong focus on value delivery and user adoption.

Recognized for my rigor, adaptability, and solution-oriented mindset, I support organizations in building strategies that are measurable, governed, and built to last.

Domaines d’expertise

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Espagnol
Capacité professionnelle limitée

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

Orange
AI Consultant
TÉLÉCOMMUNICATIONS
mars 2026 - Aujourd'hui (5 mois)
Issy-les-Moulineaux, France
AI Strategy Consultant - Since March 2026
Took over the full AI governance scope for a Corporate division (3 business perimeters, 173 AI Use Cases)
Redesigned the governance model and the Data AI Managers community framework, resulting in resulting in a 15-point delivery acceleration
Led the Data Value Measurement on ROI and FTE impact modeling across 10+ priority use cases
Drove documentation and Jira Automation of AI Portfolio, improving quality from 23% to 78% in one month, turning an unreliable tracking tool into an actual decision-making asset
Atlassian JIRA artificial intelligence AI Governance Delivery Management AI Adoption
Rothschild & Co
AI Consultant
BANQUE & ASSURANCES
février 2026 - mars 2026 (1 mois)
Paris, France
IA Consultant - Feb-March 2026
Audited the architecture, cost model and energy footprint of 3 AI agents in production.
Designed frugal optimization levers across three dimensions: cost reduction (model routing to lighter LLMs, confidence-score calibration, batch architecture), token reduction (semantic caching, complexity-based OCR routing, BatchPrompt design), and carbon footprint reduction (decarbonized scheduling, self-hosting vs. cloud, Azure region balancing).
Delivered projected savings of up to –74% annual cost and –66% token consumption on targeted agents, with –73% carbon footprint reduction through geographic workload balancing (Azure Sweden Central).
artificial intelligence Architecture IA intelligence artificielle Frugal AI Réduction des coûts
Colombus Consulting
AI Consultant
CONSEIL & AUDIT
juin 2025 - Aujourd'hui (1 an et 2 mois)
Paris, France
AI Consultant - Since June 2025
Needs analysis and prioritization of relevant AI-enabled projects
Benchmark of 3 AI solutions and multiple LLMs : Mistral, Claude, GPT
Building of 3 AI agents (prompt engineering), in collaboration with agent owner and data governance stream : CV search & adapt agent, Linkedin monitoring agent
Coded in Python (with Claude Code) and deployed an automated LinkedIn monitoring agent: article scraping, relevance filtering, bilingual post generation (FR/EN), email delivery every 3 days – deployed via Railway/GitHub.
Functional architecture design for multi-agent AI platform and n8n worfklow orchestration
intelligence artificielle Agent IA Benchmark Prompt engineering Analyse des besoins