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Devarshi Choudhury

PROFILE

Devarshi Choudhury

Devarshi contributed to the xpsi-group/xpsi repository by integrating simulation-based inference capabilities, including code for posterior inference and convolutional neural network feature extraction, using Python and PyTorch. He improved the documentation workflow with Sphinx and GitHub Actions, ensuring stable rendering and streamlined CI/CD processes. Devarshi also enhanced user configuration flexibility and addressed a LaTeX rendering bug in plot labels, improving scientific visualization reliability. In addition, he implemented robust Poisson likelihood computations to prevent crashes from zero model counts and aligned release versioning across the package. His work demonstrated depth in scientific computing, statistical modeling, and technical writing, supporting maintainable development.

Overall Statistics

Feature vs Bugs

71%Features

Repository Contributions

16Total
Bugs
2
Commits
16
Features
5
Lines of code
1,544
Activity Months3

Work History

May 2025

1 Commits • 1 Features

May 1, 2025

Monthly summary for 2025-05 focusing on contribution-related improvements in the xpsi-group/xpsi repository. Key features delivered: Contribution Guide Documentation Refactor that reorganized headers and wrapped lines to improve readability and clarity of the contribution process for developers.

January 2025

5 Commits • 1 Features

Jan 1, 2025

January 2025 monthly summary for xpsi-group/xpsi focusing on delivering business value through robust numerical methods and release engineering. Key activities included implementing a robust Poisson likelihood computation to handle zero model counts and ensure correct log-likelihood accumulation, plus aligning Release Version 3.0.3 across package, changelog, docs, and setup to improve release readiness and consistency.

December 2024

10 Commits • 3 Features

Dec 1, 2024

December 2024 (Month: 2024-12) monthly summary for repository xpsi-group/xpsi. Delivered SBI integration capabilities, enhanced documentation workflow, and increased configuration flexibility, alongside a targeted bug fix in plot rendering. These efforts expand probabilistic inference workflows for users, improve release reliability of documentation, and reduce configuration friction for common use cases.

Activity

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Quality Metrics

Correctness93.8%
Maintainability96.2%
Architecture91.2%
Performance88.8%
AI Usage20.0%

Skills & Technologies

Programming Languages

CythonJupyter NotebookPythonRSTYAMLreStructuredText

Technical Skills

Argument ParsingBayesian InferenceBug FixingCI/CDCode RefactoringCommand-line InterfaceData ScienceDocumentationGitHub ActionsNeural NetworksPlottingPyTorchPythonRelease ManagementScientific Computing

Repositories Contributed To

1 repo

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

xpsi-group/xpsi

Dec 2024 May 2025
3 Months active

Languages Used

Jupyter NotebookPythonRSTYAMLreStructuredTextCython

Technical Skills

Argument ParsingBayesian InferenceBug FixingCI/CDCode RefactoringCommand-line Interface

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