Freelancer profile translated to English.

Description

Hello, I am a fullstack developer (JS/TypeScript and C#) available for various missions.

My technical stack:

💻 Backend:Node.js/Bun : Express, Hono | .NET

📊 Databases: PostgreSQL | MongoDB

🛠️ DevOps / systems:GitLab CI/CD, Github actions, Docker, Vercel | Linux, Bash, MacOs

I offer:

Frontend Development:Creation of performant, aesthetic, and responsive user interfaces using Next.js or Blazor (C#) frameworks, adapted to modern web requirements.

Backend Development:Design of robust, scalable, and secure APIs, built with advanced technologies such as NodeJS/Bun, Express, ASP.NET to meet diverse needs.

DevOps:Implementation of automation solutions for continuous deployment, CI/CD integration, and management of scalable infrastructures with Docker and cloud services like Vercel.

I adapt to each project based on your needs.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
Japanese
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

APEX Technologies
Software Developer
TECH
February 2025 - Today (1 year and 4 months)
Paris, France
Acquisition and real-time data analysis
Data visualization in various domains: length, time, and spectral
Advanced signal processing: peak detection, polarization analysis, measurement parameter settings
Identification of bottlenecks in processing 10 million float data points
C# WPF Python CUDA
EssilorLuxottica R&D
Computer Vision
HEALTH AND WELLNESS
February 2024 - August 2024 (6 months)
Créteil, France
Development of a stereo deflectometry camera system to measure the depth of defects in optical lenses in an industrial context:

Implementation of image acquisition and automatic stereo matching functionalities inC#/OpenCV

Design and implementation of a user interface inWPF
.NET C# OpenCV Computer Vision Image Processing WPF
Direction générale des finances publiques
Computer Vision – OCR & Deep Learning
PUBLIC SECTOR
March 2023 - December 2023 (9 months)
Paris, France
Design and deployment of an automated pipeline for digitizing handwritten forms
Integration ofSuperPointfor automatic document alignment and cropping before OCR
Benchmark of 4 OCR engines:Tesseract, Google Vision, AWS Textract, and Azure Cognitive Services
Development of aPythonAPI for data extraction and export toExcel

Results: 92% recognition rate and automation of thousands of forms per day
OCR Python Google Vision Tesseract Deep Learning