Pamphile Roy
Software Engineer
Graz, Styria, Austria
Summary
🤩
RockstarPamphile Roy is a Software Engineer based in Graz, Austria, with nine years of experience blending backend engineering, statistics, and AI/ML with hands-on Python development. He is an active open-source contributor to foundational scientific projects—most notably SciPy and NumPy—where his work improved reproducibility in random sampling and clarified core documentation. His contributions to statsmodels, scikit-optimize, and SALib show deep expertise in quasi-random sampling (Sobol, Halton) and sensitivity analysis, while his PyData theme work demonstrates attention to usability and front-end polish. Comfortable across the full stack, he also authors and refines educational material for the scientific Python ecosystem. Colleagues would describe him as a pragmatic problem solver who pairs statistical rigor with production-grade engineering.
9 years of coding experience
Stackoverflow
6,308reputation
2.2mreached
82answers
23questions
tensorflow
top-5%
keras
top-5%
anaconda
top-1%
python
top-5%
numpy
top-5%
Github Skills (43)
unit-testing10
scipy10
restructuredtext10
sphinx-doc10
python10
sphinx10
scikit10
statistics10
econometrics10
analytics10
statistic10
numpy10
hyperparameter-optimization10
anaconda10
bayesian10
Programming languages (21)
Github contributions (5)
scipy/scipy
Sep 2019 - Jan 2023
SciPy library main repository
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:3228 reviews, 405 commits, 857 PRs in 3 years 4 months
Contributions summary:Pamphile's commits focus on adding a "seed" option to random number generators, specifically within the context of statistical and numerical computations in the SciPy library. They made changes to the `scipy/stats/qmc.py` file and added tests, demonstrating a focus on enhancing the library's sampling capabilities, especially regarding the use of the NumPy random number generator. The changes suggest a goal to improve the reproducibility and flexibility of random number generation within the library's statistical functions. The user also focused on adding methods for the computation of Sobol' indices.
scipypythonscientific-computing
pydata/pydata-sphinx-theme
Apr 2021 - Jul 2022
A clean, three-column Sphinx theme with Bootstrap for the PyData community
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:29 reviews, 6 commits, 8 PRs in 1 year 3 months
Contributions summary:Pamphile contributed extensively to the pydata-sphinx-theme repository by enhancing the version switcher feature, including adding options for per-version URLs and custom classes. They also addressed usability by defaulting values for active version names and adding a missing release. Moreover, the user implemented plausible analytics by adding the proper script.
pythonthree-columnsphinx-extensioncleansphinx-theme
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.