As a freelance AI/ML Architect & Engineer with a Ph.D. in AI and Computer Security, I specialize in designing autonomous agentic workflows and production-ready MLOps environments. My focus is on transforming the "chaos" of AI/ML initiatives into structured, secure, and scalable architectures that drive real-world business outcomes.

Certified as a Google Cloud Professional Cloud Architect, I combine deep academic research with a pragmatic, cartesian approach to engineering. I have helped institutions like Google, Decathlon, BNP Paribas, ArcelorMittal, and the European Commission grow their AI/ML projects to enterprise-grade solutions in production.

Core Expertise:

1. Agentic Orchestration & Architecture: Designing autonomous systems, tool-use protocols, and multi-agent reasoning loops.

2. Production-Grade MLOps and LLMOps: Implementing robust deployment patterns on GCP , AWS, Azure, Databricks and Open Source to ensure reliability and observability.

3. Security-First AI: Leveraging my Ph.D. background to build secure, trustworthy AI systems that respect enterprise constraints.

4. Technical Strategy: Translating complex AI capabilities into clear, scalable architectural roadmaps.

✍️ I regularly share insights on AI Agents and MLOps on Medium and GitHub.

🗓️ Availability Note: Fully booked for missions until the end of 2026.

Let’s connect to discuss the future of Agentic AI or MLOps.