
Over nine months, Bulo developed and enhanced scientific computing features in the SCM-NV/PLAMS repository, focusing on chemical informatics, molecular modeling, and data interoperability. He implemented robust 2D molecular visualization, improved reaction balancing for charged species, and delivered Pisa-compatible molecular dynamics analysis workflows. Using Python and RDKit, Bulo refactored code for maintainability, introduced static typing, and expanded test coverage to ensure reliability. He streamlined trajectory file handling and error reporting, enabling clearer diagnostics and smoother onboarding. His work demonstrated depth in backend development, data management, and integration of computational chemistry tools, resulting in more reliable and extensible scientific software.

October 2025 SCM-NV/PLAMS monthly summary: Focused on advancing data interoperability and code robustness. Delivered trajectory IO enhancements enabling reading/writing SCM lattice information in SDF and XYZ formats, standardized scmlib.KFFile usage for RKF trajectory files, made the filename argument optional in trajectory file initializations, and ensured correct behavior for binary file modes. Implemented error handling improvements for ReactionEquation by replacing asserts with domain-specific exceptions, increasing robustness and clarity. Cleaned up test data by removing water_box_traj.xyz and switching to conformers.rkf, reducing redundancy and speeding up tests. These changes improve reliability of trajectory processing, make error diagnostics more actionable, and streamline the test suite.
October 2025 SCM-NV/PLAMS monthly summary: Focused on advancing data interoperability and code robustness. Delivered trajectory IO enhancements enabling reading/writing SCM lattice information in SDF and XYZ formats, standardized scmlib.KFFile usage for RKF trajectory files, made the filename argument optional in trajectory file initializations, and ensured correct behavior for binary file modes. Implemented error handling improvements for ReactionEquation by replacing asserts with domain-specific exceptions, increasing robustness and clarity. Cleaned up test data by removing water_box_traj.xyz and switching to conformers.rkf, reducing redundancy and speeding up tests. These changes improve reliability of trajectory processing, make error diagnostics more actionable, and streamline the test suite.
August 2025 (2025-08) monthly performance summary for SCM-NV/PLAMS. Focused on correctness, reliability, and expanding capabilities. Key work included improving ReactionEquation for charged species balancing with comprehensive tests and a new reaction charge property; fixes to test imports and documentation formatting; and introducing Pillow for image processing to support richer visuals in docs. Result: more reliable chemical balancing, expanded test coverage, higher code quality, and groundwork for image-based features.
August 2025 (2025-08) monthly performance summary for SCM-NV/PLAMS. Focused on correctness, reliability, and expanding capabilities. Key work included improving ReactionEquation for charged species balancing with comprehensive tests and a new reaction charge property; fixes to test imports and documentation formatting; and introducing Pillow for image processing to support richer visuals in docs. Result: more reliable chemical balancing, expanded test coverage, higher code quality, and groundwork for image-based features.
May 2025 — SCM-NV/PLAMS: Delivered PISA integration enhancements across AnalysisJobs and AMSAnalysisJobs to enable reliable PISA-based analytics with multi-AMSJob support and preserved user input settings. Improved test stability for PISA plotting by increasing tolerance, reducing CI flakiness. Updated changelog to reflect PISA compatibility improvements. These efforts enhance analytics accuracy, multi-job workflows, and CI reliability, delivering clear business value.
May 2025 — SCM-NV/PLAMS: Delivered PISA integration enhancements across AnalysisJobs and AMSAnalysisJobs to enable reliable PISA-based analytics with multi-AMSJob support and preserved user input settings. Improved test stability for PISA plotting by increasing tolerance, reducing CI flakiness. Updated changelog to reflect PISA compatibility improvements. These efforts enhance analytics accuracy, multi-job workflows, and CI reliability, delivering clear business value.
April 2025 monthly summary for SCM-NV/PLAMS: Delivered Pisa-compatible MDAnalysisJobs with multi-previous-jobs support, replacing the old Settings-based configuration and enabling more sophisticated MD analysis pipelines. This work improves interoperability with the Pisa framework and reduces manual configuration, delivering business value through streamlined workflows and maintainability.
April 2025 monthly summary for SCM-NV/PLAMS: Delivered Pisa-compatible MDAnalysisJobs with multi-previous-jobs support, replacing the old Settings-based configuration and enabling more sophisticated MD analysis pipelines. This work improves interoperability with the Pisa framework and reduces manual configuration, delivering business value through streamlined workflows and maintainability.
March 2025 monthly summary for SCM-NV/PLAMS. Delivered high-impact updates across force-field configuration, RDKit constrained conformer generation, new MD scripting support, and AMSWorker reliability/documentation improvements. These efforts improve modeling accuracy, reproducibility, and developer productivity, with traceable commits and clear ownership.
March 2025 monthly summary for SCM-NV/PLAMS. Delivered high-impact updates across force-field configuration, RDKit constrained conformer generation, new MD scripting support, and AMSWorker reliability/documentation improvements. These efforts improve modeling accuracy, reproducibility, and developer productivity, with traceable commits and clear ownership.
February 2025 monthly summary for SCM-NV/PLAMS focused on delivering robust numerical workflows and data-model enhancements that improve reliability, reproducibility, and performance in constraint-based optimization and conductivity analysis. Key outcomes include streamlined constraint handling for AMS geometry optimization, improved ionic conductivity example robustness, and data-model/documentation enhancements that collectively reduce manual steps and accelerate results validation.
February 2025 monthly summary for SCM-NV/PLAMS focused on delivering robust numerical workflows and data-model enhancements that improve reliability, reproducibility, and performance in constraint-based optimization and conductivity analysis. Key outcomes include streamlined constraint handling for AMS geometry optimization, improved ionic conductivity example robustness, and data-model/documentation enhancements that collectively reduce manual steps and accelerate results validation.
January 2025 monthly summary for SCM-NV/PLAMS focusing on delivering features, fixing critical issues, and improving maintainability. Key features delivered include a constrained geometry optimization workflow with convergence handling and example usage, plus a new 2D plotting example for molecules and reactions using PLAMS with notebooks and scripts. Major bugs fixed include RDKit compatibility and interface fixes for newer RDKit versions. Code quality and documentation cleanups were performed to improve maintainability, readability, and testing. Overall impact includes more reliable optimization workflows, enhanced visualization capabilities for user onboarding and experimentation, and stronger alignment with coding standards and testing.
January 2025 monthly summary for SCM-NV/PLAMS focusing on delivering features, fixing critical issues, and improving maintainability. Key features delivered include a constrained geometry optimization workflow with convergence handling and example usage, plus a new 2D plotting example for molecules and reactions using PLAMS with notebooks and scripts. Major bugs fixed include RDKit compatibility and interface fixes for newer RDKit versions. Code quality and documentation cleanups were performed to improve maintainability, readability, and testing. Overall impact includes more reliable optimization workflows, enhanced visualization capabilities for user onboarding and experimentation, and stronger alignment with coding standards and testing.
December 2024: Delivered a robustness enhancement for PLAMS molecule conversions by introducing a presanitize option for RDKit conversions to handle problematic molecules. This included internal logic adjustments and documentation/example updates to reflect edge-case handling. The change reduces conversion failures in pipelines and improves data quality for downstream processes. No separate bugs fixed this month; the improvement primarily strengthens stability and reliability. Technologies demonstrated include RDKit integration, Python logic improvements, and updated documentation to support edge-case handling.
December 2024: Delivered a robustness enhancement for PLAMS molecule conversions by introducing a presanitize option for RDKit conversions to handle problematic molecules. This included internal logic adjustments and documentation/example updates to reflect edge-case handling. The change reduces conversion failures in pipelines and improves data quality for downstream processes. No separate bugs fixed this month; the improvement primarily strengthens stability and reliability. Technologies demonstrated include RDKit integration, Python logic improvements, and updated documentation to support edge-case handling.
Month 2024-11 — SCM-NV/PLAMS: Delivered 2D depiction and image generation for molecules and reactions, including to_image and get_reaction_image, with presanitize-based stability improvements to to_rdmol and broadened image format support. Upgraded RDKit interface code quality with enhanced formatting, stronger static typing, mypy compatibility, and explicit type hints, plus reorganized function signatures. These changes lay the groundwork for notebook-style visualization, improve maintainability, and reduce runtime risk. Notable commits include 7adf180ead991b66236d91daad5ff6c5919c48d9, 2d8a295e95a8fc4ef0362fcf508574e7aaffaad0, df2653d34c2e49b331b4b5fffc651cb3032dfc4b, and 438c6dddcadbdc3170898da9ea801cf386006f15.
Month 2024-11 — SCM-NV/PLAMS: Delivered 2D depiction and image generation for molecules and reactions, including to_image and get_reaction_image, with presanitize-based stability improvements to to_rdmol and broadened image format support. Upgraded RDKit interface code quality with enhanced formatting, stronger static typing, mypy compatibility, and explicit type hints, plus reorganized function signatures. These changes lay the groundwork for notebook-style visualization, improve maintainability, and reduce runtime risk. Notable commits include 7adf180ead991b66236d91daad5ff6c5919c48d9, 2d8a295e95a8fc4ef0362fcf508574e7aaffaad0, df2653d34c2e49b331b4b5fffc651cb3032dfc4b, and 438c6dddcadbdc3170898da9ea801cf386006f15.
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