01
AUTOMATION
Atelier Flow
Event-driven automation
A self-hosted orchestrator that turns small-production signals into reliable workflows: collection, validation, alerting and incident recovery.
Open to a new opportunity
Software engineer · Montpellier
I turn complexity into systems that work.
Automation, AI and RAG — backed by the software engineering required to turn a compelling idea into a dependable product.
00 / Profile
Two disciplines. One standard.
Trained in both data science and technology management, I design intelligent systems without losing sight of users, operations and business value. Software engineering taught me to build cleanly; AI teaches me to build with uncertainty.
2026Master's in AI & Data Science
2 yearsof work-study experience
Dualcomputer science & management track
01 / Experience
09.2024 — 08.2026
BIT Group France — Grabels, France
Software Engineer · Work-study
From laboratory to browser, without losing the data trail.
Designed a Flutter Web application centralizing and visualizing analyses from blood-testing instruments. Contributed across the product lifecycle: interfaces, data model, security, observability and industrialization.
Flutter WebSupabasePostgreSQLNestJSValkeySeaweedFS
02 / Personal lab
Three fields of experimentation.
Projects designed as products: a hypothesis, an architecture, success criteria — and enough traces to understand what actually works.
02
ARTIFICIAL INTELLIGENCE
Helios Vision
Explainable visual AI
An MLOps pipeline for anomaly detection in industrial imagery, designed for small datasets and transparent model decisions.
03
RETRIEVAL-AUGMENTED GENERATION
Context Forge
Evidence-first RAG
A RAG knowledge assistant that chunks, versions and cites every source, measures retrieval quality and abstains when evidence is insufficient.
03 / Education
A dual perspective on technology.
2025 — 2026
Master 2 Computer Science
Artificial Intelligence & Data Science2024 — 2025
Master 1 Computer Science
Software Engineering2024 — 2026