Grégoire Woroniak

I design reliable, secure, and scalable AI automations by leveraging the Model Context Protocol (MCP), AI Agents, and robust RAG pipelines. My goal: transform your processes into intelligent workflows without ever sacrificing code quality.

💡 The real risk for entrepreneurs today is "vibe coding": AI projects built quickly, poorly architected, impossible to scale.

Conversely, I am completely transparent about the technical choices I make and the architecture I implement. Each automation and each AI agent is designed to be clean, scalable, and easy to grow.

In Python & TypeScript, I develop tested, documented, and optimized systems (costs, latency, security). AI accelerates my productivity, but I maintain control to ensure a reliable, clear, and durable product.

🎯 What I do:

Advanced AI Automation via MCP & AI Agents

Efficient RAG Pipelines (reliable, observable, low-cost)

AI API Development and Secure Cloud Integrations (GCP)

Cost/Latency/Security Optimization for LLM Usage

Clean, Scalable, and Long-Term Architecture

🔧 Field Experience:

I have already deployed AI solutions in production in serious environments, both as an in-company Data Scientist and as a Freelancer. I know what really works in production, what's too expensive, and what doesn't scale. No AI for show: I offer effective, pragmatic solutions adapted to real needs.

🤝 What you get:

Robust AI automations, mastered code, and technical support that helps you avoid pitfalls (overcosts, fragile integrations, risky tech choices). I advise, implement, and help you make the right choices, always with a focus on ROI and simplicity.