AI Consultant with an engineering background — I help organizations turn AI from slideware into working products: RAG systems, multi-agent workflows, and the data governance that makes them reliable.
I'm Crista Villatoro, a Data & AI Consultant based in Berlin. My path started in chemical and environmental engineering — a background that taught me to break complex systems into measurable, solvable parts. That same mindset now drives how I build data and AI solutions.
Today I work on Airbus projects at CIMPA (a Sopra Steria company), where I own a data governance portfolio of 40+ initiatives — designing data products, running data quality campaigns, and building the monitoring dashboards teams rely on across enterprise data platforms like Palantir Skywise.
As an officially nominated AI Accelerator, I'm the hands-on builder and go-to person for AI use cases: developing prototypes, prompts, automations, and multi-agent systems, while coaching colleagues and driving practical AI adoption across the organization.
What I enjoy most is turning an idea into a working demo — fast. Proof-of-concepts that make AI tangible for real business problems.
From enterprise platforms to hands-on demos — projects where I designed, built, or led AI-powered solutions.
Designed and led the development of an AI-powered internal platform catalog, replacing scattered documentation with a queryable source of truth. Built a multi-agent retrieval architecture combining lexical, vector, and graph-based retrieval — with source-grounded answers and traceable pipeline steps.
End-to-end ownership of a strategic data governance roadmap with 40+ initiatives across Airbus enterprise data platforms — spanning governance frameworks, data quality campaigns, analytics, monitoring dashboards, and team enablement.
Colleagues come to me to get started with AI — and I get them building. I run hands-on sessions on AI-assisted development with VS Code and GitHub Copilot, and author training materials for custom AI assistants on both enterprise ecosystems: Google Gems (Airbus) and Microsoft Copilot Studio (Sopra Steria).
Digital Product Passport platform concept aligned with EU Battery Regulation — an AI intelligence layer on top of an enterprise Data Hub, with agentic workflows for regulatory monitoring, attribute lifecycle management, and audit preparation.
A retrieval-augmented generation demo with semantic search and a generative AI chat interface — showing how LLMs can answer questions grounded in your own documents.
End-to-end data projects: a Dockerized ETL pipeline with MongoDB & PostgreSQL, cloud dashboards on AWS with Metabase, ML models for bikeshare demand, and a Markov-chain customer-flow simulator.
The stack I use to take AI ideas from whiteboard to working prototype to enterprise rollout.
Where I've been building, analyzing, and accelerating.
Open to roles and projects in Data Science, AI Engineering, and AI Consulting — especially where prototypes need to become products.