DEFRA/trade-exportscore-plp
Dec 2024 – Jan 2026
8 Months active
Languages Used
JavaScriptJSONMarkdownXML
Technical Skills
Backend DevelopmentFull Stack DevelopmentNode.jsfull stack developmentunit testingConfiguration Management
Padget Avery
PROFILE
Padget Avery
Avery Padget developed and maintained core features for the DEFRA/trade-exportscore-plp repository, focusing on robust data extraction and validation from PDF packing lists. Over eight months, Avery delivered enhancements such as non-AI PDF parsing for M&S documents, multi-model treatment data extraction, and improved handling of establishment numbers using JavaScript, Node.js, and regular expressions. Their work included parser bug fixes, configuration management, and automated conversion of PDFs to structured JSON, supporting downstream analytics and regulatory reporting. Avery’s disciplined approach emphasized traceable commits, expanded test coverage, and version control, resulting in more reliable data workflows and reduced manual reconciliation effort.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
20Total
Bugs
3
Commits
20
Features
10
Lines of code
11,795
Activity Months8
Your Network
6 people
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for DEFRA/trade-exportscore-plp focusing on feature delivery and impact.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for DEFRA/trade-exportscore-plp focusing on feature delivery and impact.
January 2026
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025 monthly highlights for DEFRA/trade-exportscore-plp focusing on feature delivery and release readiness.
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025 monthly highlights for DEFRA/trade-exportscore-plp focusing on feature delivery and release readiness.
October 2025
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on delivery of enhanced treatment data extraction across Giovanni and Mars1 models in the DEFRA/trade-exportscore-plp repository. Implemented a standardized extraction approach to improve parsing accuracy and reliability of treatment type data, enabling more robust downstream scoring and reporting.
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on delivery of enhanced treatment data extraction across Giovanni and Mars1 models in the DEFRA/trade-exportscore-plp repository. Implemented a standardized extraction approach to improve parsing accuracy and reliability of treatment type data, enabling more robust downstream scoring and reporting.
October 2025
September 2025
3 Commits • 2 Features
Sep 1, 2025September 2025 performance summary for DEFRA/trade-exportscore-plp: Focused on parser robustness, release readiness, and test coverage to reduce data errors and accelerate deployment. Delivered improvements to the MARS Model 1 parser to handle multiple RMS in a packing list, introduced edge-case tests for multiple RMS and missing KG units, and prepared two releases with version bumps to 6.22.0 and 6.23.0.
September 2025
3 Commits • 2 Features
Sep 1, 2025September 2025 performance summary for DEFRA/trade-exportscore-plp: Focused on parser robustness, release readiness, and test coverage to reduce data errors and accelerate deployment. Delivered improvements to the MARS Model 1 parser to handle multiple RMS in a packing list, introduced edge-case tests for multiple RMS and missing KG units, and prepared two releases with version bumps to 6.22.0 and 6.23.0.
August 2025
10 Commits • 3 Features
Aug 1, 2025August 2025 monthly summary for DEFRA/trade-exportscore-plp focusing on business value and technical achievement. Key features delivered include enhanced data extraction and release readiness, while major bugs were resolved to improve reliability. Overall impact: more robust data validation, improved reporting accuracy, and accelerated release cadence. Technologies/skills demonstrated: regex improvements, cross-parser validation, test coverage expansion, and packaging metadata management.
10 Commits • 3 Features
Aug 1, 2025August 2025 monthly summary for DEFRA/trade-exportscore-plp focusing on business value and technical achievement. Key features delivered include enhanced data extraction and release readiness, while major bugs were resolved to improve reliability. Overall impact: more robust data validation, improved reporting accuracy, and accelerated release cadence. Technologies/skills demonstrated: regex improvements, cross-parser validation, test coverage expansion, and packaging metadata management.
August 2025
June 2025
1 Commits
Jun 1, 2025June 2025: Delivered key reliability and configurability improvements for the trade-exportscore-plp repository. Implemented Nutricia 2 Parser Bug Fix and added BOOKER1L model header configuration, accompanied by a version bump to 6.17.4. These changes enhance data accuracy and parsing stability, enabling precise unit-level analytics and reducing downstream reconciliation effort. All changes are captured in a single commit (c852af318782b38991c15c50ee7e528060762818) with release notes for traceability and repeatable deployments.
June 2025
1 Commits
Jun 1, 2025June 2025: Delivered key reliability and configurability improvements for the trade-exportscore-plp repository. Implemented Nutricia 2 Parser Bug Fix and added BOOKER1L model header configuration, accompanied by a version bump to 6.17.4. These changes enhance data accuracy and parsing stability, enabling precise unit-level analytics and reducing downstream reconciliation effort. All changes are captured in a single commit (c852af318782b38991c15c50ee7e528060762818) with release notes for traceability and repeatable deployments.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 summary: Key features delivered - Total Net Weight Unit support added to the Savers Model in DEFRA/trade-exportscore-plp, improving data accuracy for weight measurements (commit 3fd0e144971bfeab459d7a791694d0eb850869ec; AB#553249 savers kg (#218)). Major bugs fixed - None documented in the provided data. Overall impact and accomplishments - Enhanced data integrity for weight data across exports, enabling more reliable analytics and regulatory reporting; demonstrates end-to-end feature delivery with clear traceability. Technologies/skills demonstrated - Unit handling, data modeling in the Savers module, version control discipline, cross-functional collaboration with product and QA.
1 Commits • 1 Features
May 1, 2025May 2025 summary: Key features delivered - Total Net Weight Unit support added to the Savers Model in DEFRA/trade-exportscore-plp, improving data accuracy for weight measurements (commit 3fd0e144971bfeab459d7a791694d0eb850869ec; AB#553249 savers kg (#218)). Major bugs fixed - None documented in the provided data. Overall impact and accomplishments - Enhanced data integrity for weight data across exports, enabling more reliable analytics and regulatory reporting; demonstrates end-to-end feature delivery with clear traceability. Technologies/skills demonstrated - Unit handling, data modeling in the Savers module, version control discipline, cross-functional collaboration with product and QA.
May 2025
December 2024
1 Commits
Dec 1, 2024December 2024 summary: Focus on stability and compatibility improvements for DEFRA/trade-exportscore-plp. Delivered a PDF processing compatibility fix by bumping to version 6.2.5 and updating regex patterns and model IDs for ICELAND1, MANDS1, and BOOKER1 to align with updated PDF processing requirements. Implemented via commit fdc7c889dd1fe63402d083ddb6e511b3752e52a1. Business impact: more reliable PDF handling, fewer downstream errors, and smoother export score processing.
December 2024
1 Commits
Dec 1, 2024December 2024 summary: Focus on stability and compatibility improvements for DEFRA/trade-exportscore-plp. Delivered a PDF processing compatibility fix by bumping to version 6.2.5 and updating regex patterns and model IDs for ICELAND1, MANDS1, and BOOKER1 to align with updated PDF processing requirements. Implemented via commit fdc7c889dd1fe63402d083ddb6e511b3752e52a1. Business impact: more reliable PDF handling, fewer downstream errors, and smoother export score processing.
Activity
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Quality Metrics
Correctness87.6%
Maintainability84.0%
Architecture80.6%
Performance76.4%
AI Usage26.0%
Skills & Technologies
Programming Languages
JSONJavaScriptMarkdownXML
Technical Skills
API DevelopmentAzure DevOpsBackend DevelopmentCI/CDCode QualityConfiguration ManagementData ParsingData ValidationDatabase Schema ManagementDependency ManagementDockerFull Stack DevelopmentGitHub ActionsHapi.jsJSON Handling
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