About

Building at the intersection of data, AI & business.

Customer Engineer Apprentice at Google, exploring cloud architectures, AI, and turning complex technology into tangible business value.

Customer Engineer @ Google Cloud Architecture Data & AI Paris

Tools & Stack

Python Python
Pandas Pandas
NumPy NumPy
PyTorch PyTorch
scikit-learn scikit-learn
Jupyter Jupyter
Plotly Plotly
SQL SQL
Selenium Selenium
Scrapy Scrapy
Python Python
Pandas Pandas
NumPy NumPy
PyTorch PyTorch
scikit-learn scikit-learn
Jupyter Jupyter
Plotly Plotly
SQL SQL
Selenium Selenium
Scrapy Scrapy
Google Cloud Google Cloud
JavaScript JavaScript
Git Git
VS Code VS Code
Docker Docker
Azure Azure
Power BI Power BI
Photoshop Photoshop
Lightroom Lightroom
Premiere Premiere
Canva Canva
Google Cloud Google Cloud
JavaScript JavaScript
Git Git
VS Code VS Code
Docker Docker
Azure Azure
Power BI Power BI
Photoshop Photoshop
Lightroom Lightroom
Premiere Premiere
Canva Canva

Background

I'm currently working as a Customer Engineer Apprentice at Google while completing the joint MSc Data and AI for Business at Albert School × Mines Paris – PSL. Passionate about cloud architectures, AI, mathematics, and turning technical capabilities into concrete business solutions.

Beyond data and engineering, I've spent 11 years at the prestigious Cours Florent drama school, shaping my communication style, public speaking, and pitch skills.

Sports are a big part of my life: gym, climbing, diving, and boxing. I'm also a photography enthusiast comfortable with Lightroom, Photoshop, and Premiere Pro.

Experience

Google

Customer Engineer Apprentice

2026 – Present

Assisting enterprise clients with cloud architecture and AI solutions. Helping design scalable architectures, demonstrating Google Cloud and Gemini capabilities, and translating technical innovation into concrete business impact.

Board Game Arena

Data Science Intern

06/2025 – 11/2025

Applied advanced ML to 200M+ rows of gameplay data. Built a game network using graph theory and cosine similarity, segmented players with clustering and GMM, designed a recommender system, and created a Power BI dashboard.

Ministry of Defense

AI Project Support

05/2024 – 07/2024

Fine-tuned and evaluated an internal AI model. Built and maintained internal databases. Collected large datasets via web scraping (Selenium, Scrapy). Won the IADATAHACK2024 web scraping event.

Business Deep Dives

Data Science & Analytics

2023 – 2026

Real-world challenges with BCG, LVMH, CMA CGM, Jellyfish, Henkel, Asmodee & Edmond de Rothschild: sales prediction, recommendation systems, graph-based routing, financial forecasting, digital marketing.

Education