cdisc-org/cdisc-rules-engine
Sep 2025 – Jun 2026
10 Months active
Languages Used
PythonYAMLMarkdownplaintext
Technical Skills
Controlled TerminologyData ProcessingData ValidationDocumentationError HandlingPython Development
Aleksei Furmenkov
PROFILE
Aleksei Furmenkov
Worked extensively on the cdisc-org/cdisc-rules-engine repository, delivering features and fixes that improved data validation, processing, and reporting for clinical datasets. Leveraged Python, Pandas, and XML technologies to build robust APIs, enhance CLI usability, and implement schema validation, caching, and error handling. Developed workflows for automated rule validation with CSV reporting, expanded support for complex data formats, and introduced flexible metadata extraction and normalization. Focused on reliability through comprehensive unit testing, regression checks, and CI/CD integration. Addressed edge cases in data ingestion, improved performance with caching strategies, and streamlined metadata management to support scalable, high-quality data pipelines and reporting.
Overall Statistics
Feature vs Bugs
65%Features
Repository Contributions
49Total
Bugs
12
Commits
49
Features
22
Lines of code
2,987,905
Activity Months10
Your Network
8 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly recap for the cdisc-org/cdisc-rules-engine stream: Delivered a validation workflow for published rules with CSV report generation, plus comprehensive unit tests and workflow automation. This enables automated validation of engine outputs against published rules and exports results in CSV for auditability and business reporting. Work included moving validation logic to a Python script, refining the CSV report format, and expanding test coverage to ensure reliability across the validation path.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly recap for the cdisc-org/cdisc-rules-engine stream: Delivered a validation workflow for published rules with CSV report generation, plus comprehensive unit tests and workflow automation. This enables automated validation of engine outputs against published rules and exports results in CSV for auditability and business reporting. Work included moving validation logic to a Python script, refining the CSV report format, and expanding test coverage to ensure reliability across the validation path.
June 2026
May 2026
5 Commits • 4 Features
May 1, 2026Month: 2026-05 – Delivered high-impact features and stability improvements in the cdisc-rules-engine, driving data quality, validation reliability, and caching efficiency for dataset workflows. The month focused on expanding error visibility, enabling precise issue tracing, improving data processing performance, and simplifying metadata handling to reduce technical debt.
May 2026
5 Commits • 4 Features
May 1, 2026Month: 2026-05 – Delivered high-impact features and stability improvements in the cdisc-rules-engine, driving data quality, validation reliability, and caching efficiency for dataset workflows. The month focused on expanding error visibility, enabling precise issue tracing, improving data processing performance, and simplifying metadata handling to reduce technical debt.
April 2026
12 Commits • 4 Features
Apr 1, 2026April 2026: Focused on data quality, performance, and reliability in the cdisc-rules-engine. Delivered core metadata validation/enrichment, robust CSV ingestion with metadata extraction and env-based configuration, introduced per-builder dataset caching for faster rule validation, and strengthened the testing infrastructure. Addressed critical stability bugs to reduce runtime errors and improve user experience across CLI, data handling, and XML processing.
12 Commits • 4 Features
Apr 1, 2026April 2026: Focused on data quality, performance, and reliability in the cdisc-rules-engine. Delivered core metadata validation/enrichment, robust CSV ingestion with metadata extraction and env-based configuration, introduced per-builder dataset caching for faster rule validation, and strengthened the testing infrastructure. Addressed critical stability bugs to reduce runtime errors and improve user experience across CLI, data handling, and XML processing.
April 2026
March 2026
7 Commits • 3 Features
Mar 1, 2026March 2026 performance summary for cdisc-org/cdisc-rules-engine. Focused on hardening data export, expanding validation, and improving XPT/XML handling to reduce failures in SDTM reporting and dataset processing. Delivered robust handling for SDTM path resolution, enhanced datastream validation with custom dataset/domain awareness, introduced flexible XPT reading with define_xml_path support, and strengthened dataset consistency checks via regex. These efforts improved reliability, traceability, and readiness for downstream CDISC submissions.
March 2026
7 Commits • 3 Features
Mar 1, 2026March 2026 performance summary for cdisc-org/cdisc-rules-engine. Focused on hardening data export, expanding validation, and improving XPT/XML handling to reduce failures in SDTM reporting and dataset processing. Delivered robust handling for SDTM path resolution, enhanced datastream validation with custom dataset/domain awareness, introduced flexible XPT reading with define_xml_path support, and strengthened dataset consistency checks via regex. These efforts improved reliability, traceability, and readiness for downstream CDISC submissions.
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly recap for cdisc-org/cdisc-rules-engine focusing on key features delivered, bugs fixed, and impact.
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly recap for cdisc-org/cdisc-rules-engine focusing on key features delivered, bugs fixed, and impact.
February 2026
January 2026
6 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for cdisc-org/cdisc-rules-engine focusing on delivering robust data handling, stable rule evaluation, and improved data processing quality. The team delivered feature improvements for dataset metadata handling and reporting, stabilized the engine against version-rule mismatches, and enhanced data loading and preprocessing with encoding fallbacks and regression-tested quality checks. The work is expected to reduce reporting errors, improve data fidelity, and lower production incidents through stronger validation and clearer diagnostics.
January 2026
6 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for cdisc-org/cdisc-rules-engine focusing on delivering robust data handling, stable rule evaluation, and improved data processing quality. The team delivered feature improvements for dataset metadata handling and reporting, stabilized the engine against version-rule mismatches, and enhanced data loading and preprocessing with encoding fallbacks and regression-tested quality checks. The work is expected to reduce reporting errors, improve data fidelity, and lower production incidents through stronger validation and clearer diagnostics.
December 2025
4 Commits • 2 Features
Dec 1, 2025December 2025 performance summary for the cdisc-rules-engine workstream. Delivered domain-aware metadata loading with dataset domain substitution, introduced filetype-based data validation and a CLI shortcut, and hardened the max_date operation for larger-scale, Dask-enabled processing. Implemented regression and unit tests to ensure dataset accuracy and resilience, improving data quality, reliability, and operational efficiency in production pipelines. Focused on domain handling consistency, CLI usability, and performance optimizations to support scalable rule evaluation pipelines.
4 Commits • 2 Features
Dec 1, 2025December 2025 performance summary for the cdisc-rules-engine workstream. Delivered domain-aware metadata loading with dataset domain substitution, introduced filetype-based data validation and a CLI shortcut, and hardened the max_date operation for larger-scale, Dask-enabled processing. Implemented regression and unit tests to ensure dataset accuracy and resilience, improving data quality, reliability, and operational efficiency in production pipelines. Focused on domain handling consistency, CLI usability, and performance optimizations to support scalable rule evaluation pipelines.
December 2025
November 2025
7 Commits • 1 Features
Nov 1, 2025Month 2025-11 (cdisc-org/cdisc-rules-engine) focused on expanding data processing capabilities, hardening resilience, and improving output fidelity. Key features delivered include dataset processing enhancements with a new split_by operation for delimited codelists in dataset columns and an updated contains_all to support list comparisons, backed by tests and documentation. Major bugs fixed include improved error handling for nonexistent domains with clearer logging and messages, regression and unit tests, and enhanced dataset output robustness (robust JSON schema validation and handling when no records). Additional portability improvements were made for cache paths and dataset input/output handling, along with fixes to dataset metadata processing and to_parquet in the dummy data service. Overall, these changes reduce failure modes, improve data quality, and accelerate downstream pipelines in production. Technologies demonstrated include Python, comprehensive unit/regression testing, documentation, logging, and data serialization to Parquet.
November 2025
7 Commits • 1 Features
Nov 1, 2025Month 2025-11 (cdisc-org/cdisc-rules-engine) focused on expanding data processing capabilities, hardening resilience, and improving output fidelity. Key features delivered include dataset processing enhancements with a new split_by operation for delimited codelists in dataset columns and an updated contains_all to support list comparisons, backed by tests and documentation. Major bugs fixed include improved error handling for nonexistent domains with clearer logging and messages, regression and unit tests, and enhanced dataset output robustness (robust JSON schema validation and handling when no records). Additional portability improvements were made for cache paths and dataset input/output handling, along with fixes to dataset metadata processing and to_parquet in the dummy data service. Overall, these changes reduce failure modes, improve data quality, and accelerate downstream pipelines in production. Technologies demonstrated include Python, comprehensive unit/regression testing, documentation, logging, and data serialization to Parquet.
October 2025
2 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for cdisc-rules-engine focused on delivering robust development infrastructure and a new XHTML validation capability, enabling faster onboarding, more reliable deployments, and stronger input quality checks.
2 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for cdisc-rules-engine focused on delivering robust development infrastructure and a new XHTML validation capability, enabling faster onboarding, more reliable deployments, and stronger input quality checks.
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 20252025-09 monthly summary for cdisc-org/cdisc-rules-engine. This period focused on stabilizing data ingestion and enhancing validation to improve data quality and downstream workflow reliability. Key changes include robust handling of empty XPT files to prevent crashes, and improved codelist validation to support preferred terms. These changes reduce data-loss risk and raise correctness of metadata and terminology checks.
September 2025
2 Commits • 1 Features
Sep 1, 20252025-09 monthly summary for cdisc-org/cdisc-rules-engine. This period focused on stabilizing data ingestion and enhancing validation to improve data quality and downstream workflow reliability. Key changes include robust handling of empty XPT files to prevent crashes, and improved codelist validation to support preferred terms. These changes reduce data-loss risk and raise correctness of metadata and terminology checks.
Activity
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Quality Metrics
Correctness90.6%
Maintainability82.8%
Architecture82.8%
Performance82.4%
AI Usage28.2%
Skills & Technologies
Programming Languages
MarkdownPythonYAMLplaintext
Technical Skills
API developmentAPI integrationCI/CDCLI DevelopmentControlled TerminologyDaskData ProcessingData ValidationDependency ManagementDocumentationError HandlingException HandlingPandasPythonPython Development
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