fmind.dev

About Me

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

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 driving real-world business outcomes by ensuring reliability and observability in complex systems.

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 & 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 Ph.D. 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

AI/ML Architect

Design and implement enterprise-scale Agents and MLOps platforms for AI/ML industrialization.

AI/ML

Agents

Gen AI

MLOps
AI/ML Engineer

Contributed to Arachne, the European fraud detection system to ensure financial integrity.

AI/ML

Fraud Detection

Public Sector
Data Scientist

Trained and optimized AI/ML models for steel price recommendations in industrial markets.

AI/ML

Data

Forecasting

Industry
Project Manager

Supervised the development of advanced transformer models for banking applications.

NLP

Finance

Project Management
Research Partner

Collaborated with the Android Security team to enhance malware detection and characterization.

AI/ML

Security

Big Data

Android
Data Engineer

Delivered consulting, recruitment, and pre-sales alongside data engineering projects.

Data Engineering

Consulting

GCP
Researcher & Teacher

Conducted AI security research and taught AI/ML, Big Data, and Android development.

AI

Security

Research

Teaching
Security Engineer

Selected and configured a scalable SIEM solution to detect and respond to security incidents.

Big Data

Security

Banking

SIEM

Certifications

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

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.

SetValX — Android Malware Processing APKWorkers — Distributed Android Analysis