Médéric Hurier

AI Architect (PhD) • VC Expert Advisor • AAIF Ambassador • GCP Certified Cloud Architect • AI Agents, MLOps & Security

About Me

Transforming AI/ML initiatives into secure, scalable, and high-impact solutions.

I am a freelance AI Architect with a PhD in AI and Computer Security. I design and industrialize AI agents, MLOps platforms, and secure cloud foundations, turning fast-moving research into dependable production capabilities with clear controls, observability, and measurable outcomes.

My work spans strategy and delivery: enterprise agent platforms at Decathlon, European fraud detection for the European Commission, and Android malware research with Google. I have also delivered AI, data, and security initiatives for BNP Paribas, ArcelorMittal, SFEIR, Clearstream, and the University of Luxembourg.

Beyond client work, I serve as an AAIF Ambassador and Luxembourg organizer and contribute to the 33N Ventures Expert Advisory Board. As a Google Cloud Professional Cloud Architect, I bring a pragmatic, security-first approach to systems that must operate reliably at scale.

Core Expertise & Skills

Agentic Orchestration

Building autonomous systems, reasoning engines, and reliable agentic workflows.

Production MLOps

Robust deployment patterns on GCP, AWS, Azure, and Databricks for reliability.

Security-First AI

Leveraging a PhD background to build secure and trustworthy AI systems.

Technical Strategy

Translating complex AI capabilities into clear, scalable architectural roadmaps.

Data Science & ML

Engineering machine learning models and data solutions for enterprise scale.

Python Development

Building scalable applications, libraries, and tools with modern standards.

Work Experience

A track record of engineering scale, reliability, and security for industry-leading institutions.

AI/ML Architect
Decathlon
Design and implement enterprise-scale Agents and MLOps platforms for AI/ML industrialization.
AI/ML
Agents
Gen AI
MLOps
AI/ML Engineer
European Commission
Contributed to Arachne, the European fraud detection system to ensure financial integrity.
AI/ML
Fraud Detection
Public Sector
Data Scientist
ArcelorMittal
Trained and optimized AI/ML models for steel price recommendations in industrial markets.
AI/ML
Data
Forecasting
Industry
Project Manager
BNP Paribas
Supervised the development of advanced transformer models for banking applications.
NLP
Finance
Project Management
Research Partner
Google
Collaborated with the Android Security team to enhance malware detection and characterization.
AI/ML
Security
Big Data
Android
Data Engineer
SFEIR
Delivered data engineering, technical consulting, recruitment, and pre-sales.
Data Engineering
Consulting
GCP
Researcher & Teacher
University of Luxembourg
Conducted AI security research and taught AI/ML, Big Data, and Android development.
AI
Security
Research
Teaching
Security Engineer
Clearstream
Selected and configured a scalable SIEM solution to detect and respond to security incidents.
Big Data
Security
Banking
SIEM

Leadership & Community

Certifications

Validated capabilities from leading foundations, cloud providers, and academic networks.

Agentic AI Foundation Ambassador 2026

The Linux Foundation • 2026

Professional Cloud Architect

Google Cloud • f86b41ffd74d4b50947e69876a9274af

Professional ML Engineer

Google Cloud • 84c1e188f1054fb8bd53af78060df688

Machine Learning Associate

Databricks • 61461287

Data Scientist Associate

Microsoft Azure • 992564946

Graph Data Science

Neo4j • cd64002c-63a3-4968-87dd-d6cca204a5cd

Specializations & Foundations

Architecting with GKE

Google • WLU4DBPSQ4B5

Cloud Data Engineering

Google • EPZ3WQFC423E

Machine Learning for Trading

Google • YSNPABSMV6JL

Advanced Machine Learning

Google • V492QQ4JJKEB

AI: Reinforcement Learning

Udemy • UC-XALJEH7G

Advanced AI: Deep RL

Udemy • UC-5FM0CC9S

TensorFlow Developer

DeepLearning • LQ4GHWJ6URBS

Artificial Intelligence

Google (Udacity) • PV7A7EAA

Machine Learning

Stanford (Coursera)

Publications

Sharing research, insights, and structural guidelines with the global engineering community.

PhD Thesis

Creating better ground truth to further understand Android malware

University of Luxembourg (SNT) & Google, 2019

AI/ML models are only as good as the data they learn from — yet Android malware ground truths are notoriously unreliable. This thesis tackles the problem by benchmarking antivirus engines, harmonizing their conflicting labels, and mining large-scale datasets to characterize malicious behavior.

Servalx — Android Malware Processing APKWorkers — Distributed Android Analysis