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Ludovic Henry

PROFILE

Ludovic Henry

Over a three-month period, this developer focused on expanding RISC-V support and CI reliability across major open-source projects including PyTorch, Executorch, and NumPy. They engineered cross-architecture build automation and native hardware testing pipelines, leveraging Python, Docker, and YAML to streamline CI/CD workflows and enable robust RISC-V validation. Their work included creating Docker images for baremetal testing, modularizing CI workflows in k0s, and enhancing cross-compilation infrastructure. By upgrading dependencies and refining build tooling, they improved test coverage and developer throughput. The developer’s contributions emphasized maintainable, scalable solutions for continuous integration and packaging, with a strong focus on embedded and edge compatibility.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

18Total
Bugs
0
Commits
18
Features
12
Lines of code
1,635
Activity Months3

Work History

June 2026

6 Commits • 2 Features

Jun 1, 2026

June 2026 monthly summary focusing on cross-architecture RISC-V work across two repositories (pytorch/executorch and pytorch/pytorch). Efforts centered on delivering stable, testable CI pipelines and reliable baremetal testing infrastructure for RISC-V, with concrete Docker image work, CI tooling upgrades, and build fixes that directly improve developer throughput and hardware coverage.

May 2026

9 Commits • 7 Features

May 1, 2026

May 2026 focused on accelerating RISC-V support and CI reliability across PyTorch and ecosystem. Delivered targeted features across multiple repos to enable faster, patch-free RISC-V testing, broader hardware coverage, and more maintainable CI/CD pipelines.

April 2026

3 Commits • 3 Features

Apr 1, 2026

April 2026 monthly work summary focusing on delivering RISC-V readiness across repositories, improving CI efficiency, and expanding hardware test coverage. No major bugs identified in this period. Key outcomes include cross-repo CI enablement, caching for faster builds, and native hardware testing for RISC-V in PyTorch.

Activity

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Quality Metrics

Correctness96.6%
Maintainability88.8%
Architecture93.4%
Performance88.8%
AI Usage24.4%

Skills & Technologies

Programming Languages

BashCMakeGoMarkdownPythonShellYAMLbash

Technical Skills

Build AutomationCI/CDCMake configurationContinuous IntegrationDeep LearningDevOpsDockerGitHub ActionsGoLinuxMachine LearningModel TestingPythonPython DevelopmentPython Packaging

Repositories Contributed To

7 repos

Overview of all repositories you've contributed to across your timeline

pytorch/executorch

May 2026 Jun 2026
2 Months active

Languages Used

BashCMakeMarkdownPythonShellYAMLbash

Technical Skills

CI/CDCMake configurationContinuous IntegrationDeep LearningDevOpsDocker

pytorch/pytorch

Apr 2026 Jun 2026
3 Months active

Languages Used

YAMLPythonShell

Technical Skills

CI/CDDevOpsTestingContinuous IntegrationSoftware DevelopmentBuild Automation

replicatedhq/troubleshoot

Apr 2026 Apr 2026
1 Month active

Languages Used

GoYAML

Technical Skills

Continuous IntegrationDevOpsGoYAML

ggml-org/llama.cpp

Apr 2026 Apr 2026
1 Month active

Languages Used

YAML

Technical Skills

CI/CDDevOpsGitHub Actions

k0sproject/k0s

May 2026 May 2026
1 Month active

Languages Used

YAML

Technical Skills

CI/CDDevOpsGitHub Actions

pytorch/test-infra

May 2026 May 2026
1 Month active

Languages Used

YAML

Technical Skills

CI/CDDevOpsDocker

numpy/numpy

May 2026 May 2026
1 Month active

Languages Used

PythonYAML

Technical Skills

CI/CDPython PackagingTesting