Scientific computing
C++ and Python for simulation and numerical methods: Barnes-Hut N-body systems, OpenMP multithreading, and analysis of real scientific datasets.
I build production software, and I'm working my way toward the scientific end of it: simulation, satellite data, and computational tools for planetary science. Founder of Entropy.
Based in France. Bringing EntropyHack to Edinburgh, March 2027.

My background is in production full-stack software engineering, but I'm increasingly focused on scientific computing, Earth observation, simulation, and computational tools for planetary and space science. I'm the founder of Entropy, where I'm building that direction alongside an international technical community.
C++ and Python for simulation and numerical methods: Barnes-Hut N-body systems, OpenMP multithreading, and analysis of real scientific datasets.
Satellite imagery, raster pipelines, GIS tooling and environmental analysis with Sentinel data, MapLibre, and custom geospatial systems.
Full-stack production systems in Angular, Next.js, Node.js and Express, on MongoDB and PostgreSQL, with WebSockets, authentication, and typed contracts.
RAG pipelines end to end: embeddings, vector search, ranking, and source-linked answers for research-focused retrieval.
TypeScript · Angular · Next.js · Node.js
Express · FastAPI · REST · WebSockets · JWT auth · Go
C++ · Python · OpenMP · Barnes-Hut · Numerical simulation
MapLibre · Sentinel-1/2 · Raster pipelines · GIS · Plotly
RAG · Embeddings · Vector search · Groq · Scikit-learn
MongoDB · PostgreSQL · Prisma
Docker · GitHub Actions · Vercel · CI/CD
Jest · Vitest · Zod · Joi · Sentry
Simulation, Earth observation, and retrieval systems built on real scientific datasets, plus a few production tools.

A scrollytelling data visualization built on the NASA Exoplanet Archive. I wrote a habitability scoring algorithm in Python that ranks 6,100+ exoplanets on several criteria, then wrapped the results in an interactive 3D story so you can actually explore them.

A 3D N-body gravitational simulator modeling 1,000 celestial bodies in C++ and Python, using the Barnes-Hut algorithm for O(N log N) force computation, OpenMP multithreading, and 3D trajectory visualization.
An Earth-observation mapping platform built for a Swiss environmental non-profit, layering satellite and demographic data over the Philippines. I serve custom raster tiles natively from Next.js, with 10m land cover fragmentation, Sentinel-5P nitrogen dioxide concentrations, 2020 population density, and public transport stops.

Research infrastructure for scientific literature: a search engine running a full RAG pipeline of ingestion, embedding, vector search on MongoDB Atlas, query re-ranking, and source-linked answers. Built around a research UX that emphasizes filtering, trust, and reproducibility.

A place to put your GitHub repositories in front of people who might want to help build them. I made it because finding contributors for a side project is harder than it should be.
Founding a company, shipping production code, and running technical programs, across France, Switzerland, and the US.

Entropy · France
Deep-tech company building computational systems for planetary and space science, alongside technical community infrastructure.
PS4E · Remote, Lucerne, Switzerland
Sole developer for a Swiss environmental non-profit building open Earth-observation tools.

App'Ines · Remote, France
Production platform work on a remote, distributed French engineering team.

SSIP · Hybrid, Lucerne, Switzerland
Technical and program leadership across the European space innovation ecosystem.

Headstarter AI · Remote, USA
AI feature work in a fast-paced US remote engineering environment.
Founded in February 2026, Entropy builds computational analysis and simulation systems for planetary and space science, alongside the technical community and events that surround them.
Computational tools spanning Earth observation, planetary analysis, simulation and scientific software.
An Earth-observation analysis platform for disaster assessment and prevention, combining satellite imagery, geospatial layers and decision-support tooling.
The events, platforms, and tooling that get ambitious engineers into the same room. Good work tends to start with the right people talking to each other.
Hackathon results, mentoring and judging roles, talks I've given, and community features.
Selected as a 2026 Navigator, supporting participants alongside Universal Event judging and Global Judging.
Confirmed mentor for the Bern edition, supporting participant teams throughout the event.
Selected among the top overall LinkedIn profile revamps, with a $100 learning stipend.
Selected as a remote mentor for the 2026 cohort.
Won with Goldilocks, my scrollytelling look at 6,100+ exoplanets from the NASA Exoplanet Archive.
Featured as the first community story on the platform.
Gave two talks in Lucerne on hackathons and what they have to do with space exploration.
Gave a webinar on how to prepare effectively for a hackathon, find the right data and turn bold ideas into working solutions in just 48 hours.
Nominated out of the Zurich event in Switzerland.
Won first place with Back to the NASA.
If you're working on scientific software, Earth observation, simulation, space technology, or research infrastructure, or you just want to talk about EntropyHack, I'd like to hear from you.