weni-ai/flows
Jul 2025 – Jun 2026
3 Months active
Languages Used
MarkdownJavaScriptPythonYAML
Technical Skills
DocumentationdocumentationDjangoGitHub ActionsNode.jsReact
Roberta Moreira
PROFILE
Roberta Moreira
Over a three-month period, contributed to the weni-ai/flows repository by delivering three key features focused on backend automation and messaging enhancements. Developed a Conversion Events Module and API endpoint to enable accurate conversion tracking, coordinating cross-repository updates and release preparation using Python and Django. Enhanced WhatsApp broadcast capabilities by adding carousel support, updating serializers and test coverage to ensure regression safety and future extensibility. Automated the provisioning of contact fields for VTEX accounts, reducing manual setup and improving data consistency. Demonstrated proficiency in full stack development, documentation, and Git-based workflows, with work spanning JavaScript, Python, and YAML for robust feature delivery.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
1,093,278
Activity Months3
Your Network
18 peopleSame Organization
@weni.ai5
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 performance summary for weni-ai/flows: Key feature delivered: Automatic provisioning of contact fields for vtex_account. This feature automatically creates and provisions the required contact fields to streamline management of contact information and improve user experience. Commits and delivery: Implemented via commit 752123e6ed38dd692a05d191b5d225ea7c14ffa3, merged as part of PR #806 (feat: add vtex_account to auto-create contact fields). Scope: Repository - weni-ai/flows. Major bugs fixed: No major bugs reported or fixed this month based on the available data. Impact and accomplishments: - Business value: Reduced manual configuration, lowered risk of data-entry errors, and accelerated VTEX account onboarding, enabling faster time-to-value for customers. - Technical impact: Added automated provisioning logic for VTEX account contact fields, improving data consistency and maintainability within the flows pipeline. Technologies/skills demonstrated: - Git workflows: feature branch, PR review and merge - Backend provisioning logic and data model changes for contact fields - Focus on UX improvements through data automation
1 Commits • 1 Features
Jun 1, 2026June 2026 performance summary for weni-ai/flows: Key feature delivered: Automatic provisioning of contact fields for vtex_account. This feature automatically creates and provisions the required contact fields to streamline management of contact information and improve user experience. Commits and delivery: Implemented via commit 752123e6ed38dd692a05d191b5d225ea7c14ffa3, merged as part of PR #806 (feat: add vtex_account to auto-create contact fields). Scope: Repository - weni-ai/flows. Major bugs fixed: No major bugs reported or fixed this month based on the available data. Impact and accomplishments: - Business value: Reduced manual configuration, lowered risk of data-entry errors, and accelerated VTEX account onboarding, enabling faster time-to-value for customers. - Technical impact: Added automated provisioning logic for VTEX account contact fields, improving data consistency and maintainability within the flows pipeline. Technologies/skills demonstrated: - Git workflows: feature branch, PR review and merge - Backend provisioning logic and data model changes for contact fields - Focus on UX improvements through data automation
June 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026Monthly summary for 2026-01: Delivered an enhanced WhatsApp broadcast capability in weni-ai/flows by enabling Carousel support. Implemented is_carousel and carousel fields in WhatsappBroadcastWriteSerializer and updated unit tests to cover the new fields. Updated the WENI-CHANGELOG.md to reflect the change. No major bugs fixed this month; focus remained on feature delivery and test coverage to reduce regression risk. Key business impact includes enabling richer WhatsApp campaigns with carousel messaging, improving potential engagement, and laying the groundwork for future multi-item messaging features. Technologies demonstrated include Python, Django REST Framework serializer changes, test-driven development, and changelog/documentation practices.
January 2026
1 Commits • 1 Features
Jan 1, 2026Monthly summary for 2026-01: Delivered an enhanced WhatsApp broadcast capability in weni-ai/flows by enabling Carousel support. Implemented is_carousel and carousel fields in WhatsappBroadcastWriteSerializer and updated unit tests to cover the new fields. Updated the WENI-CHANGELOG.md to reflect the change. No major bugs fixed this month; focus remained on feature delivery and test coverage to reduce regression risk. Key business impact includes enabling richer WhatsApp campaigns with carousel messaging, improving potential engagement, and laying the groundwork for future multi-item messaging features. Technologies demonstrated include Python, Django REST Framework serializer changes, test-driven development, and changelog/documentation practices.
July 2025
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 — Delivered the Conversion Events Module and API Endpoint as part of the 3.34.0 release for weni-ai/flows, with coordinated updates to weni-ap-apps and weni-datalake-sdk. The effort encompassed module design, API surface, and release preparation, including updating the WENI changelog. This work supports improved conversion measurement across user journeys and downstream data pipelines. Commit reference: ab58d6f4450526ecef0a123096e20c991f1c9a1c.
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 — Delivered the Conversion Events Module and API Endpoint as part of the 3.34.0 release for weni-ai/flows, with coordinated updates to weni-ap-apps and weni-datalake-sdk. The effort encompassed module design, API surface, and release preparation, including updating the WENI changelog. This work supports improved conversion measurement across user journeys and downstream data pipelines. Commit reference: ab58d6f4450526ecef0a123096e20c991f1c9a1c.
July 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage33.4%
Skills & Technologies
Programming Languages
JavaScriptMarkdownPythonYAML
Technical Skills
DjangoDocumentationGitHub ActionsNode.jsReactdocumentationfull stack development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline