Victor Stinner
Développeur Logiciels at Red Hat
Trets, Provence-Alpes-Côte d'Azur, France
Summary
🤩
Rockstar
Top expert inComprehensive Python Ecosystem Development
Victor Stinner is a seasoned software developer with 14 years’ experience, currently at Red Hat where he maintains Python both upstream (python.org) and downstream for RHEL/Fedora and is a Python core developer. He specializes in porting and modernizing large Python codebases—especially OpenStack projects—and has deep expertise in CPython internals, C API changes, memory management and performance engineering. Victor’s open-source footprint includes contributions to high-profile projects like CPython, Cython, pyperformance/pyperf and Greenlet, where he tackled compatibility across Python versions and improved benchmarking and concurrency primitives. Beyond routine fixes, he frequently works on low-level adaptations (C extensions, interpreter API) and testing infrastructure that keep ecosystems forward-compatible. Based in Provence-Alpes-Côte d'Azur, he blends systems-level knowledge with practical, production-grade maintenance of critical open-source infrastructure.
14 years of coding experience
Stackoverflow
1,344reputation
552kreached
11answers
0questions
python
top-5%
Github Skills (73)
cpython10
benchmark10
restructuredtext10
python10
multithreading10
testing10
c1110
openstack-swift10
performance-testing10
c1710
automation10
code-migration10
six10
cython10
threaded10
Programming languages (20)
Github contributions (5)
python/pyperformance
Aug 2016 - Mar 2021
Python Performance Benchmark Suite
Role in this project:
Back-end Developer / Performance Engineer
Back-end Developer / Performance EngineerContributions:8 reviews, 608 commits, 53 PRs in 4 years 7 months
Contributions summary:Victor primarily focused on enhancing the performance of the Python benchmark suite, specifically targeting the PyPy implementation. Their work involved improving the creation of virtual environments, removing dependencies that were not compatible with newer versions, and optimizing benchmark execution by providing command-line options for controlling the test environment (e.g., setting CPU affinity, defining the test size), as well as modifying existing tests (such as bm_telco) to use more efficient I/O methods. The user also made efforts to streamline and improve the reliability of the overall benchmarking process by adjusting the test framework to better handle errors.
pythonbenchmarkingbenchmark-suitebenchmarkperformance
psf/pyperf
Jun 2016 - May 2022
Toolkit to run Python benchmarks
Role in this project:Backend Developer & Performance Engineer
Backend Developer & Performance EngineerContributions:122 reviews, 1098 commits, 70 PRs in 6 years
Contributions summary:Victor contributed significantly to the performance and functionality of the `pyperf` project, which is focused on running and analyzing Python benchmarks. Their commits include the implementation of features related to calibration, such as recalibrating loops and adding warmups, to optimize benchmark execution. Furthermore, they are responsible for adding metadata about the command being run, as well as refactoring the code to improve maintainability and efficiency, such as creating submethods and removing unused variables.
benchmarkingpythonbenchmarkbenchmarkspython-benchmarks
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