Description

I am a computer science engineering student and independent software builder, working at the intersection of engineering, AI, and product.

My experience combines the rigor of large organizations with the speed of startup execution. I have worked at EY, where I built data-driven tools to structure and transfer complex enterprise information, and at Safran, gaining exposure to high-performance industrial environments and strong engineering standards.

In parallel, I design and build my own products from scratch. I am currently developing SupermodelsAI, a SaaS platform focused on generating AI-driven digital personas, where I handle everything from architecture to deployment and product strategy.

I specialize in building fast, clean, and scalable systems: full-stack applications, AI-powered workflows, automation pipelines, and cloud-native deployments. I do not just execute tasks, I take ownership of problems and deliver solutions aligned with business outcomes.

I am particularly comfortable in ambiguous environments where speed matters, whether it is shipping an MVP, automating a workflow, or designing a system from the ground up.

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 20 km)

Safran
Software Engineer | Purchasing
AÉRONAUTIQUE & AÉROSPATIALE
septembre 2025 - janvier 2026 (4 mois)
Vélizy-Villacoublay, France
I fully designed and developed an application aimed at optimizing purchase costs representing several million euros per year. The tool analyzes purchasing data to identify cost-saving opportunities, improve supplier selection, and support better decision-making within the procurement department.

This application replaced an outdated VBA macro as well as multiple manual SAP R/3 data extractions that were previously performed by hand. By automating these processes, it significantly reduced the risk of human error, improved data reliability, and streamlined the overall workflow.

As a result, the solution saved approximately 300 man-days per year, increased operational efficiency, and provided a more scalable and sustainable system for long-term use.
JavaScript Node.js Express PostgreSQL VBA
AI SaaS
Independent
HIGH TECH
janvier 2024 - Aujourd'hui (2 ans et 5 mois)
Paris, France
Designed and developed a SaaS platform for AI-assisted image generation, attracting 50 to 100 new registrations per month with €500 ARR.
• Developed and deployed a solution based on Stable Diffusion.
• Implemented a robust and scalable infrastructure using Docker, Next.js, AWS S3, and Amplify.
• Managed user authentication and optimized the system to provide a smooth and efficient user experience.
Stable Diffusion LoRa API Next.js Amazon Web Services
EY (ex Ernst & Young),
Internship
CONSEIL & AUDIT
juin 2023 - juillet 2023 (1 mois)
La Défense, France
Contributed to the company's digital transformation by developing a strategic tool for exporting Active Directory data to Microsoft SQL using PowerShell.
• Analyzed requirements and wrote technical specifications.
• Developed and automated the data extraction and transfer process.
• Provided documentation and training for end-users to ensure long-term usability of the solution.
Powershell Active Directory Microsoft SQL Server