Cros Romain
Software Engineer
Toulouse, Occitania, France
Summary
🤩
RockstarCros Romain is a seasoned software engineer based in Toulouse with 11 years of experience specializing in DevOps, test automation, and full‑stack development. He contributes actively to prominent open-source projects—improving test infrastructure for pytest-testinfra, enabling cross‑architecture builds for conda-forge’s miniforge via qemu-user-static, and hardening Jupyter Docker images—demonstrating strong systems-level and CI/CD expertise. He also bridges into data tooling, adding temporal histogram support to ydata-profiling, showing an ability to move between infrastructure and data-science codebases. Known for pragmatic refactors and thoughtful build/test improvements, he focuses on making developer workflows more reliable and reproducible.
11 years of coding experience
Stackoverflow
20,837reputation
4.4mreached
247answers
5questions
jupyter-notebook
top-5%
pandas
top-1%
encoding
top-5%
docker
top-5%
printing
top-1%
machine-learning
top-5%
Github Skills (56)
data-visualizations10
printing10
docker10
pytest10
python10
jupyter10
qemu10
testing10
pandas10
bash10
data-visualisation10
exploratory-data-analysis10
jupyterlab10
dockers10
cicd10
Programming languages (13)
Github contributions (5)
jupyter/docker-stacks
Dec 2018 - Feb 2022
Ready-to-run Docker images containing Jupyter applications
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:109 reviews, 234 commits, 140 PRs in 3 years 2 months
Contributions summary:Cros contributed to the Jupyter/docker-stacks repository by implementing various improvements and bug fixes. They updated the base-notebook and minimal-notebook images, including code changes related to testing, and managing dependencies. Furthermore, they worked on tests related to specific packages within the scope of the docker-stacks project. The user's commits demonstrate a focus on maintaining and enhancing the functionality of the Docker images for Jupyter applications.
pythonjupyter-notebooknotebookdockerjupyterlab
ydataai/ydata-profiling
May 2016 - Dec 2018
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Role in this project:Data Scientist
Data ScientistContributions:1 release, 32 commits, 16 PRs in 2 years 7 months
Contributions summary:Cros contributed to the implementation of histograms for date variables within the `pandas-profiling` library. This involved modifying the `base.py` and `templates.py` files to incorporate histogram generation and display functionality for date data types, alongside related refactoring and code cleanup. The user's work expanded the data profiling capabilities of the library, adding support for visualization of temporal data distributions, directly enhancing the exploratory data analysis features of the tool.
pythonjupyter-notebookpandas-profilingbig-data-analyticsstatistics
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.