Description

I build scalable backend systems and data-driven features and can take products from idea to fully deployed application.

I’ve worked on high-volume systems handling 10k+ transactions/day, improving reliability and reducing errors by 30%.

My core stack includes Node.js, TypeScript, Spring Boot, and Laravel, with production-ready deployments using Docker, Kubernetes, and CI/CD.

I also develop machine learning models for classification and anomaly detection, and build data pipelines with Python and Spark.

Beyond backend and ML, I design and ship end-to-end applications from full-stack platforms to clean, high-converting landing pages.

What I deliver:

- Scalable APIs & microservices

- ML-powered features & data pipelines

- Full-stack applications & landing pages

- Performance optimization & system reliability

If you need something built right from backend to frontend, I can help!

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Freelance
Backend / Machine Learning Engineer
BANKING AND INSURANCE
May 2025 - Today (1 year and 1 month)
Paris, France
• • Built backend services in PHP (Laravel) for financial systems handling 10000+ transactions/day
• • Containerized applications with Docker and implemented CI/CD pipelines
• • Optimized transaction pipelines, reducing processing errors by 30%
• • Developed Python ML models for categorization and anomaly detection
Python Fullstack Machine learning Laravel React.js
Société Générale
Full Stack Developer
BANKING AND INSURANCE
April 2023 - March 2025 (1 year and 11 months)
Montreal, Canada
• • Designed backend systems using Node.js, TypeScript, handling 5000+ requests/day
• • Migrated microservices to Spring Boot with testing in Java
• • Developed frontend features in React
• • Used Docker, Kubernetes for deployment and resilience
• • Implemented monitoring with Grafana and Kibana
• • Worked in Agile/Scrum with testing (Jest, Cypress)
React.js Typescript Fullstack Docker Kubernetes
City-Drop
Data Scientist / Full Stack Developer
TRANSPORTATION
October 2021 - November 2022 (1 year and 1 month)
Suresnes, France
• • Built data pipelines using Python, Spark
• • Developed backend tools and dashboards (Dash, Tableau)
• • Improved frontend performance by 50%
• • Planning optimization to improve the number of bookings (Python, Machine Learning, Scikit Learn and PyTorch)
• • Managed PostgreSQL, MongoDB, Redis
Python Data science Fullstack React.js Tableau software