Freelancer profile translated to English.

Description

Graduated as an engineer from ISAE Supaero in 2017, I started my career at Telespazio France as a Data Scientist specializing in Computer Vision and geo-information. I developed deep learning algorithms for satellite image processing while setting up big data infrastructures with PostgreSQL, Hadoop, and PySpark.

In 2019, I co-founded FDTI Consulting where I led data science projects from A to Z, from client acquisition to delivery. This entrepreneurial experience allowed me to acquire a global vision of the business and develop my skills in project management and client relations.

From 2021 to 2023, I joined Microsoft in Italy to work on the automatic detection of manufacturing defects. I designed and deployed Computer Vision models in production, focusing on the quality of datasets and the establishment of sustainable ML infrastructures. During this period, I also experienced digital nomadism in Europe, working from a converted van.

In 2023, I joined Crédit Agricole in Portugal as a Data Engineer to standardize ETL procedures and set up CI/CD pipelines. An enriching experience in the financial sector that confronted me with the challenges of critical data in real-time.

Since 2025, I have been developing Kreatube, my own platform for assisting in the creation of YouTube content, using React, Node.js, Python, and the integration of LLM APIs. A project that combines my technical skills and my passion for product innovation.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual
Portuguese
Fluent
German
Conversational

Workplace preferences

Can work on-site

Saint-Quentin (up to 50km), Paris (up to 10km), Toulouse (up to 10km), Bordeaux (up to 10km), Lille (up to 10km)

Kreatube.co
Full Stack Dev & CEO
SOCIAL NETWORKS
March 2025 - Today (1 year and 3 months)
Klagenfurt, Austria
Development of a Software-as-a-Service (SaaS) aimed at helping Youtube content creators understand the expectations of their audience.
- Multi-user authentication mechanism
- Implementation of a personalized credit system
- Integration of LLM APIs (Gemini, OpenAI)
- Stack: ReactJS, NodeJS, Python, MongoDB, Stripe
Stripe LLM Node.js React.js MongoDB
Crédit Agricole
Data Engineer
BANKING AND INSURANCE
May 2023 - May 2024 (1 year)
Lisbonne, Portugal
Data Engineer, Payment Services (CAPS entity):
- Standardization of Extract-Transform-Load processes (with IBM DataStage)
- Debugging on production chain of financial data flows
- Development of packages for integrating new financial products
- Implementation of a CI/CD workflow (Jira / Git / Jenkins / Jfrog / AWX)
ETL Datastage Jenkins Bank Jira/Confluence
Microsoft
Data Scientist & AI Consultant
LUXURY GOODS
April 2021 - February 2023 (1 year and 10 months)
Milan, Italy
Development and implementation of deep learning algorithms enabling the automatic visual detection of anomalies, on production lines in the luxury industry.

The main challenges were:
- Supporting the client in creating a clean dataset, conducive to training machine learning models;
- Setting up an infrastructure to perform deep learning on such large datasets (the final dataset contained several tens of thousands of high-quality images);
- Popularizing the operation of complex deep learning models to establish the client's confidence in the robustness of the results;
- Implementing the final model on the client's production line, and ensuring its monitoring over time thanks to MLOps pipelines on Azure.

Tools used: mainly Python, Azure expert, data visualization (PowerBI, Streamlit), containerization (Docker, Kubernetes), DevOps best practices, implementation and use of MLOps pipelines.

Computer Vision algorithms implemented (under Pytorch): FasterRCNN, DETR, EfficientDet, YOLO, Autoencoders, Siamese Networks, GAN
Deep Learning Computer Vision Pytorch MLOps Microsoft Azure