RosettaCommons/foundry
Dec 2025 – May 2026
4 Months active
Languages Used
JSONJupyter NotebookMarkdownPythonShellYAML
Technical Skills
BioinformaticsConfiguration ManagementDocumentationJSON manipulationJupyter NotebooksLogging
Raktim Mitra
PROFILE
Raktim Mitra
Worked on the RosettaCommons/foundry repository to enhance nucleic acid and protein design workflows, delivering six features and a critical bug fix over four months. Developed HBPLUS and RFdiffusion3NA integrations, enabling advanced training and constrained nucleic acid design through Python, JSON, and Shell scripting. Improved CI/CD pipelines and configuration management, introducing robust documentation and linting workflows for maintainability. Addressed data integrity by fixing residue retention during partial diffusion, refining input parsing and code formatting. Maintained and updated documentation in Markdown and Jupyter Notebooks, supporting user onboarding and collaboration. The work emphasized reliability, clarity, and extensibility across bioinformatics and molecular modeling pipelines.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
15Total
Bugs
1
Commits
15
Features
6
Lines of code
434,989
Activity Months4
Your Network
25 peopleWork History
May 2026
1 Commits
May 1, 2026May 2026 monthly summary for RosettaCommons/foundry: Delivered a critical bug fix to prevent loss of nucleic acid residues during partial diffusion in protein design models, significantly improving the accuracy of nucleic acid structure generation. Implemented input parsing improvements to retain residues and performed formatting/quality updates to align with code standards. The work strengthens data integrity, reduces downstream design errors, and supports more reliable diffusion-based design pipelines.
1 Commits
May 1, 2026May 2026 monthly summary for RosettaCommons/foundry: Delivered a critical bug fix to prevent loss of nucleic acid residues during partial diffusion in protein design models, significantly improving the accuracy of nucleic acid structure generation. Implemented input parsing improvements to retain residues and performed formatting/quality updates to align with code standards. The work strengthens data integrity, reduces downstream design errors, and supports more reliable diffusion-based design pipelines.
May 2026
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for RosettaCommons/foundry: - Delivered RFdiffusion3NA extension to support nucleic acid design under complex constraints, with accompanying config and README updates; enhanced polymer suffix handling and overall repository cleanliness. - Fixed critical issues to improve robustness: simplified P suffix handling and resolved demo.json issues related to ligand-chain allow settings. - Improved code quality and maintainability: Ruff lint/format fixes and removal of extraneous files; documentation improvements for clarity and onboarding. - Overall impact: expanded design capabilities for constrained nucleic acid workflows, faster onboarding for new users, and strengthened reliability for downstream projects and collaborations.
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for RosettaCommons/foundry: - Delivered RFdiffusion3NA extension to support nucleic acid design under complex constraints, with accompanying config and README updates; enhanced polymer suffix handling and overall repository cleanliness. - Fixed critical issues to improve robustness: simplified P suffix handling and resolved demo.json issues related to ligand-chain allow settings. - Improved code quality and maintainability: Ruff lint/format fixes and removal of extraneous files; documentation improvements for clarity and onboarding. - Overall impact: expanded design capabilities for constrained nucleic acid workflows, faster onboarding for new users, and strengthened reliability for downstream projects and collaborations.
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026: Delivered CI/CD workflow enhancements and dsDNA design alignment for RosettaCommons/foundry. Implemented hb2 tool integration with a robust temporary directory lookup and added dedicated workflows for documentation generation and linting, improving maintainability and pipeline reliability. Updated dsDNA design parameters and corresponding documentation to reflect latest specifications, ensuring consistency between design JSON and Markdown docs and reducing potential misalignment in downstream usage.
3 Commits • 2 Features
Feb 1, 2026February 2026: Delivered CI/CD workflow enhancements and dsDNA design alignment for RosettaCommons/foundry. Implemented hb2 tool integration with a robust temporary directory lookup and added dedicated workflows for documentation generation and linting, improving maintainability and pipeline reliability. Updated dsDNA design parameters and corresponding documentation to reflect latest specifications, ensuring consistency between design JSON and Markdown docs and reducing potential misalignment in downstream usage.
February 2026
December 2025
10 Commits • 3 Features
Dec 1, 2025December 2025 (RosettaCommons/foundry): Delivered HBPLUS integration with an enhanced training workflow, including improved documentation, environment setup guidance, new example PDBs, and binder/metrics refinements to support HBPLUS-based training. Added non-loopy structure indicator support via an is_non_loopy flag in configuration and binders to better model polymers and nucleic acids. Maintained and cleaned up documentation with image/link fixes and README upkeep. Minor but meaningful fixes include adjusting hbplus metric failure handling from error to warning to reduce training noise and documentation link corrections (trajectory.png).
December 2025
10 Commits • 3 Features
Dec 1, 2025December 2025 (RosettaCommons/foundry): Delivered HBPLUS integration with an enhanced training workflow, including improved documentation, environment setup guidance, new example PDBs, and binder/metrics refinements to support HBPLUS-based training. Added non-loopy structure indicator support via an is_non_loopy flag in configuration and binders to better model polymers and nucleic acids. Maintained and cleaned up documentation with image/link fixes and README upkeep. Minor but meaningful fixes include adjusting hbplus metric failure handling from error to warning to reduce training noise and documentation link corrections (trajectory.png).
Activity
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Quality Metrics
Correctness90.6%
Maintainability90.6%
Architecture90.6%
Performance88.0%
AI Usage33.4%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPythonShellYAML
Technical Skills
BioinformaticsCI/CDConfiguration ManagementDevOpsDocumentationJSON manipulationJupyter NotebooksLoggingMolecular ModelingPythonPython DevelopmentPython programmingRefactoringShell Scriptingbackend development
Repositories Contributed To
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