Matthias Meschede
COO & CRO at QuantStack
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolMatthias Meschede is a hands-on technology and business leader with 11 years of experience bridging data science, developer tooling and open-source ecosystems; he currently serves as COO & CRO at QuantStack, helping scale operations, revenue architecture and a lean data backbone behind projects like Jupyter. He previously led Tweag’s data engineering and sociotechnical programs—winning RFPs, running fellowship and EU programs, and managing multiple concurrent projects across data, build systems and migrations. A former geophysics PhD and post‑doc, Matthias brings rigorous signal‑processing and modeling instincts to software problems, having applied those skills to seismic analysis and predictive sensing. He is an active contributor to notable open-source projects (e.g., IHaskell and ObsPy), improving kernel messaging, plotting and visualization integrations, and practical reproducible Jupyter environments with Nix. Colocated in Paris, he blends research-grade technical depth with client-facing solutions and product-focused operational leadership.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Geophysics, très honorable, Doctor of Philosophy - PhD, Geophysics, très honorable at Institut de Physique du Globe de ParisDiplom, Physics, with distinction, Diplom, Physics, with distinction at Ludwig-Maximilians Universität München / LMU MunichVisiting Student Research Collaborator, Geophysics and Seismology, Visiting Student Research Collaborator, Geophysics and Seismology at Princeton University
English, French, German, Latin, Spanish, lojban
Github Skills (22)
python10
nix10
jupyter10
signal-processing10
matplotlib10
ipython10
seismology10
numpy10
haskell10
documentation10
scipy9
javascript9
visualization9
npm9
visualizations9
Programming languages (23)
Github contributions (5)
IPGP/scientific_python_cheat_sheet
Feb 2016 - Jun 2017
simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work
Role in this project:
Technical Writer
Technical WriterContributions:100 commits, 6 PRs, 91 pushes in 1 year 3 months
Contributions summary:Matthias primarily focused on updating the project's documentation, specifically the `index.html` file, likely a cheat sheet for scientific Python. Their commits involved modifying content and layout, improving readability and organization. Changes included adding and refining sections related to various Python topics and libraries, demonstrating an effort to enhance the cheat sheet's clarity and comprehensiveness. They also updated the deployment scripts.
matplotlibnumpypythonscipy
tweag/jupyenv
Dec 2018 - Oct 2022
Declarative and reproducible Jupyter environments - powered by Nix
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:2 reviews, 92 commits, 27 PRs in 3 years 10 months
Contributions summary:Matthias primarily worked on improving the Jupyter environment and related tools. Their commits include fixing paths, small fixes, and removing custom kernel files. They also introduced new python overlays and reorganized folders. They also made changes to the setup of the project by building with npm.
jupyternixjupyterlabjupyter-notebooksreproducibility
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