Patricia Wintrebert - Portfolio

AI Engineer - I turn complex business workflows into AI systems that ship.

GenAI · RAG · Agentic Systems · Governance & Observability

About

I'm an AI Engineer with 15+ years bridging business and engineering. I take ambiguous business problems - scattered data, manual processes, an early AI idea - and turn them into working AI systems deployed on real data.

Quick facts

📍 Switzerland (Permit C) · Full remote
🗣️ Trilingual — English · French · German
🔗 LinkedIn — linkedin.com/in/patriciawintrebert
🐙 GitHub — github.com/patw47

What I do

Translate fuzzy business needs into AI architectures (discovery → design).
Build GenAI/RAG systems and agentic workflows on real data.
Bridge product, business, and engineering.

Core stack

Area	Tools
AI / LLM	Azure OpenAI · Claude (Anthropic API) · OpenAI · RAG · embeddings · Qdrant · agentic orchestration (OpenClaw, n8n, MCP) · Microsoft Entra ID
Backend	Python · FastAPI · Node.js / Express · PostgreSQL · SQLite
Frontend	Next.js · React · TypeScript · Tailwind CSS · Streamlit
Cloud & DevOps	Azure · AWS · Docker · GitHub Actions CI/CD · systemd · Supabase

Selected case studies

Note: All projects were designed, built, and developed by me. For client projects, I have specified my exact role, whether end-to-end delivery or contribution only.

Enterprise AI - Client Delivery

**Qualitative-Research RAG** - Production GenAI/RAG turning thousands of confidential multi-format documents into a searchable knowledge base. Azure OpenAI embeddings, Microsoft Entra ID auth, genuine PROD/STAGING on AWS. (End-to-End Delivery, Client project)