Ethan Brosselard · ZayKo

Backend developer.

Fully remote · Permanent preferred or fixed-term > 6 months

My apprenticeships since 2022 span Python backends in healthcare and real estate, following C++ experience. With a master’s in AI engineering, I also build my own applications and remain open to different backend languages.

Professional experience

Hands-on experience with teams.

From APIs to data pipelines and applied AI, alongside experience with C++ algorithms and testing.

Studio Beyowi

Python Software Developer — Apprenticeship

October 2023 — September 2026

  • Healthcare — Developed most of the Thésorimed backend, including medicine-document processing.
  • Real estate — Property valuations with the CTO using cleaned DVF transactions in PostgreSQL.
  • Data — Medicine-document, price and reimbursement ETL; SQL migrations with AWS DMS.
  • RAG & OCR — Queries over medicine leaflets/SmPCs and user-provided real-estate information.
  • Delivery — AWS, DigitalOcean, Docker, CI/CD, n8n; development, staging and production.
Examples of contributions

Primotheus: value properties using comparable transactions

I contributed alongside the CTO to the FastAPI backend of a real-estate platform. DVF transaction data is cleaned and stored in PostgreSQL. Valuation retrieves comparable sales by location, property type and floor area, filters outliers and calculates an estimated value. The backend also supports refreshing valuations after property changes or through a batch process.

Thésorimed: automate medicine-data preparation

I developed most of the Flask backend for the internal Thésorimed platform. Processing retrieves and updates medicine leaflets and summaries of product characteristics (SmPCs), extracts their sections and prepares data for SQL databases. Pandas pipelines also process medicine prices and reimbursement data; documents and extraction outputs are stored in AWS S3.

RAG: query relevant documents in context

In healthcare, I contributed to RAG for questions over medicine leaflets and SmPCs. For Primotheus, RAG queries real-estate information supplied by the user: their properties and documents, including content extracted through OCR. These contributions combine vector search and OpenAI services; the real-estate use case aims to work with each user’s own supplied data.

Primotheus: connect the backend to n8n workflows

The Primotheus backend integrates with n8n workflows to process events and synchronize information with business tools. This provides context for my Python, FastAPI, REST API and data-processing work, alongside pytest tests and delivery through Docker and CI/CD.

Intento Design

C++ Backend Developer — Apprenticeship

September 2022 — August 2023

  • ID-Xplore — Implemented a Monte Carlo method in C++ on the input parameters of an analog circuit exploration tool.
  • Maintenance — Code optimization, unit tests and documentation; independent work and implementations alongside the CTO.

Education

  • Master’s Degree in Computer Science — Artificial Intelligence Engineering — completed in 2026 University Paris 8 Vincennes — Saint-Denis · 2024 — 2026
  • Bachelor of Technology (BUT) in Computer Science Paris Rives de Seine IUT — Université Paris Cité · 2021 — 2024

Skills

Building reliable backend systems.

Each area is backed by professional experience or a detailed project case study.

01

Backend & APIs

Most of an internal healthcare platform’s Python backend; a real-estate backend developed alongside the CTO at Studio Beyowi.

Backend experience
02

Applied AI

RAG for questions over medicine leaflets and product information, and user-provided property data and documents, with OCR extraction.

AI integration
03

Data & SQL

Cleaned DVF transactions in PostgreSQL for property valuation; medicine-data ETL with Pandas at Thésorimed.

Data workflows
04

Cloud & automation

n8n workflows at Primotheus, document storage in AWS S3 at Thésorimed, and delivery with Docker and CI/CD.

Skills and experience

Projects

Backend development in my projects.

Two applications I develop independently, with decisions around server-side logic, data models and validation.

Palimia library in dark mode, with demonstration movies and their posters.

Backend & data

Palimia

A personal cultural library with a catalog normalized on the server, separate private data and explainable recommendations.

Technical decision Provider catalogs are normalized on the server and kept separate from personal data.

In development; hosting planned on my homelab.

  • Next.js
  • TypeScript
  • PostgreSQL
  • Prisma
  • Better Auth
Read the case study
Ludosaic catalog showing Grid Duel, Merge Forge, and Reflex Rush.

Backend & real time

Ludosaic

A mini-game platform under development with replayable rules, server-verified results and recovery after interruption.

Technical decision Rules are separate from rendering; the server replays runs to verify connected results.

MVP under development, with no external deployment.

  • Next.js
  • TypeScript
  • React
  • PostgreSQL
  • Colyseus
Read the case study

About

Backend foundations, several languages.

APIs, business rules, data and testing shape my work. My Python and C++ experience and TypeScript projects support an approach to backend development that is open to different languages, complemented by a master’s in AI engineering.

Learn more

Contact

Let’s talk about your team or project.

I’m looking for a backend development role, with an interest in applied AI, data and cloud, and openness to different languages. You can email me directly.

Get in touch