Product-minded software engineer — from sensor to interface, from data to real use.
Curious about product, grounded in the field.
01 — Profile
I connect a real-world constraint to a complete system — from the need to the interface, through architecture and data.
Trained in computer science and embedded systems, I start from a concrete need to build the architecture, backend, frontend, data, and tooling that make the system usable.
02 — Selected projects
Each case study lays out the problem, my role, the decisions, the trade-offs, and the limits — not just a stack.
A race designed as a living product
A backyard ultra in Noirmoutier built as a complete system: identity, invitation, website, live tracking, trailer, and on-the-ground materials all belong to the same product.
Read the case studyFrom microcontroller to supervision interface
An embedded navigation simulator connected to a supervision backend and a web interface, designed as a complete chain tested at every level.
Read the case studySearching across 20+ GB of heterogeneous data
A multimodal contextual search engine built on a Vector Lakehouse (LanceDB, Apache Arrow) to query images, PDFs, CSVs, and text through a local RAG pipeline.
Read the case studyDetecting cells in 3D brain images
An automatic cell-detection pipeline for 3D brain images, with quantitative evaluation and assisted parameter tuning.
Read the case studyFrom QR code to a multi-restaurant kitchen display
A multi-restaurant web application for publishing a QR-code-accessible menu, managing products and availability, and progressively extending the experience toward ordering and a kitchen display.
Read the case study03 — Journey
Three environments that shaped the way I build.
3 years · Work-study
Design of a complete geospatial system, from firmware to web interface, with strong emphasis on testing and integration.
International internship
Applied research on cell detection in 3D brain images and automated parameter tuning.
Degree awarded · September 2026
A program connecting software, data, artificial intelligence, electronics, and physical systems.
04 — Skills
The stack changes. What matters: understanding, deciding, building, and hardening.
From need to a maintainable web interface.
Clear contracts between business logic, API, and data.
Ingestion, structuring, and search at scale.
Choosing where the model actually creates value.
Making software, sensors, and protocols talk to each other.
Testing interfaces and making the system reproducible.
05 — Explorations
Amazon → Twitter domain adaptation and active data selection.
Human factors, physiology, and social-media-related effects.
Personal local-first multi-agent environment, with specialized agents and human-validated actions.
A VR waste-sorting game aboard an orbital station, with physical interactions and an interface built into the set.
An Arduino electronic board game for 2 to 6 players, in a 3D-printed hexagonal enclosure.
STM32 prototype measuring temperature and humidity for a wine cellar, with LCD display.
Exploring reinforcement learning in a multi-agent environment.
06 — Off-screen