CitizenLabDotCo/citizenlab
Oct 2025 – Mar 2026
6 Months active
Languages Used
JavaScriptTypeScriptRuby
Technical Skills
Reactfront end developmentAPI developmentAPI testingRSpecRuby on Rails
AchrafGoVocal
PROFILE
Achrafgovocal
Achraf contributed to the CitizenLabDotCo/citizenlab repository by delivering 33 features and 13 bug fixes over six months, focusing on data governance, reporting, and internationalization. He engineered enhancements such as bulk PDF import and handwritten survey response extraction using Ruby on Rails and AI integration, streamlining data workflows and reducing manual processing. Achraf improved reporting accuracy and flexibility by refining XLSX exports, sorting, and filtering, while strengthening backend reliability through caching refactors and access control updates. His work combined React, TypeScript, and RSpec to ensure robust test coverage, maintainable code, and scalable analytics, addressing both technical debt and evolving business needs.
Overall Statistics
Feature vs Bugs
72%Features
Repository Contributions
118Total
Bugs
13
Commits
118
Features
33
Lines of code
8,884
Activity Months6
Your Network
34 peopleSame Organization
@govocal.com5
JelenaMember
kogreMember
LuucMember
Nola MoreauMember
RobMember
Shared Repositories
29
Adrien DessyMember
AdrienMember
Amanda AMember
Amira BayoumiMember
AmiraMember
Amanda AndersonMember
Cindy EBMember
PolyglitMember
Edwin KatoMember
Work History
March 2026
11 Commits • 2 Features
Mar 1, 2026In March 2026, the CitizenLab codebase delivered a major refactor and two new features focused on bulk data imports and data extraction, improving reliability, scalability, and business value. The Bulk Import PDF Parsing and Splitting Service consolidates PDF parsing and the bulk import workflow into a dedicated service, removing an inheritance-based approach, standardizing parsing, and centralizing splitting into idea files for bulk import. Parser instantiation fixes, page-count handling improvements, and various cleanup steps were applied. Separately, Handwritten Survey Response Extraction via LLM adds a new use case for extracting handwritten survey responses from scanned PDFs using the LLM service, including a new prompt configuration and supporting refactors. Accompanying the features were targeted maintenance and quality improvements: merge conflicts resolved, missed import jobs fixed, unused methods removed, rubocop offenses addressed, and PR hygiene enhanced. These changes reduce manual processing, improve data quality and maintainability, and enable scalable bulk imports and analytics-ready data extraction.
11 Commits • 2 Features
Mar 1, 2026In March 2026, the CitizenLab codebase delivered a major refactor and two new features focused on bulk data imports and data extraction, improving reliability, scalability, and business value. The Bulk Import PDF Parsing and Splitting Service consolidates PDF parsing and the bulk import workflow into a dedicated service, removing an inheritance-based approach, standardizing parsing, and centralizing splitting into idea files for bulk import. Parser instantiation fixes, page-count handling improvements, and various cleanup steps were applied. Separately, Handwritten Survey Response Extraction via LLM adds a new use case for extracting handwritten survey responses from scanned PDFs using the LLM service, including a new prompt configuration and supporting refactors. Accompanying the features were targeted maintenance and quality improvements: merge conflicts resolved, missed import jobs fixed, unused methods removed, rubocop offenses addressed, and PR hygiene enhanced. These changes reduce manual processing, improve data quality and maintainability, and enable scalable bulk imports and analytics-ready data extraction.
March 2026
February 2026
3 Commits • 3 Features
Feb 1, 2026February 2026: Delivered three core feature enhancements and targeted codebase improvements for analytics, data collection flexibility, and consistency. Strengthened reporting capabilities, improved accessibility in data collection, and increased maintainability through naming clarity across the codebase. These changes enable better adoption insights, faster iteration, and more robust data capture.
February 2026
3 Commits • 3 Features
Feb 1, 2026February 2026: Delivered three core feature enhancements and targeted codebase improvements for analytics, data collection flexibility, and consistency. Strengthened reporting capabilities, improved accessibility in data collection, and increased maintainability through naming clarity across the codebase. These changes enable better adoption insights, faster iteration, and more robust data capture.
January 2026
23 Commits • 4 Features
Jan 1, 2026January 2026 focused on delivering critical internal adoption capabilities, strengthening data quality in reporting, and tightening UI/UX consistency. Key work included the InternalAdoption service and frontend widgets, enhanced reporting in the survey/report builder with sorting options and tests, and a set of fixes that improve event permission handling, date boundary accuracy, and color consistency across timeframes. The work enhances onboarding flow, analytics reliability, and developer experience through code cleanup and test coverage.
23 Commits • 4 Features
Jan 1, 2026January 2026 focused on delivering critical internal adoption capabilities, strengthening data quality in reporting, and tightening UI/UX consistency. Key work included the InternalAdoption service and frontend widgets, enhanced reporting in the survey/report builder with sorting options and tests, and a set of fixes that improve event permission handling, date boundary accuracy, and color consistency across timeframes. The work enhances onboarding flow, analytics reliability, and developer experience through code cleanup and test coverage.
January 2026
December 2025
41 Commits • 9 Features
Dec 1, 2025December 2025 monthly summary emphasizing business value, data governance, and quality improvements across the CitizenLab codebase. Delivered significant feature work and stability fixes in citizenlab, with a focus on governance, performance, and engineering discipline.
December 2025
41 Commits • 9 Features
Dec 1, 2025December 2025 monthly summary emphasizing business value, data governance, and quality improvements across the CitizenLab codebase. Delivered significant feature work and stability fixes in citizenlab, with a focus on governance, performance, and engineering discipline.
November 2025
38 Commits • 14 Features
Nov 1, 2025November 2025 highlights: Delivered major XLSX export enhancements with timezone-safe output and expanded test coverage; rolled out comprehensive sorting and filtering improvements across reports and widgets (ReportBuilder, ProjectsWidget, ProjectsTimeline), including locale support, enabling more accurate, locale-aware data insights; Enhanced report creation UX by including unlisted projects in the create report modal; Strengthened localization readiness and UI polish with formatMessage usage, voting filtering, and i18n updates; Improved stability and maintainability through UI cleanup, ContentBuilder refactor, RuboCop fixes, and robust test descriptions; These changes drive business value by enabling faster, more accurate reporting, better decision-making with locale-aware data, and improved developer productivity.
38 Commits • 14 Features
Nov 1, 2025November 2025 highlights: Delivered major XLSX export enhancements with timezone-safe output and expanded test coverage; rolled out comprehensive sorting and filtering improvements across reports and widgets (ReportBuilder, ProjectsWidget, ProjectsTimeline), including locale support, enabling more accurate, locale-aware data insights; Enhanced report creation UX by including unlisted projects in the create report modal; Strengthened localization readiness and UI polish with formatMessage usage, voting filtering, and i18n updates; Improved stability and maintainability through UI cleanup, ContentBuilder refactor, RuboCop fixes, and robust test descriptions; These changes drive business value by enabling faster, more accurate reporting, better decision-making with locale-aware data, and improved developer productivity.
November 2025
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for CitizenLabDotCo/citizenlab focusing on terminology configuration improvements that increase flexibility for user-defined terms and improve code maintainability. Delivered with an internal refactor to TerminologyConfig removing lodash mapValues and simplifying state updates for singular/plural terms. No critical bugs reported; groundwork laid for broader terminology customization and localization.
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for CitizenLabDotCo/citizenlab focusing on terminology configuration improvements that increase flexibility for user-defined terms and improve code maintainability. Delivered with an internal refactor to TerminologyConfig removing lodash mapValues and simplifying state updates for singular/plural terms. No critical bugs reported; groundwork laid for broader terminology customization and localization.
Activity
Loading activity data...
Quality Metrics
Correctness96.8%
Maintainability91.0%
Architecture91.0%
Performance90.0%
AI Usage23.0%
Skills & Technologies
Programming Languages
JavaScriptRubyTypeScript
Technical Skills
AI integrationAPI developmentAPI integrationAPI testingCypressRSpecRSpec testingReactRuby on RailsSQLTypeScriptUI/UX designback end developmentbackend developmentconditional logic
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline