
Roberta Sousa developed and enhanced backend features for the weni-ai/flows repository, focusing on robust API development and data handling for WhatsApp conversion events and contact management. She implemented localized content support, enforced strict payload validation, and introduced scalable modules for Click to WhatsApp attribution, leveraging Django and Python for modularity and maintainability. Her work included integrating with third-party APIs like Meta and Datalake, improving error handling, and expanding test coverage with unit and integration tests. Through careful data modeling, validation, and refactoring, Roberta ensured data integrity, reliability, and observability, enabling more accurate analytics and smoother deployment across global channels.

October 2025: Delivered core improvements to contact data handling and expanded test coverage for import workflows in weni-ai/flows. Focused on data accuracy, test reliability, and maintainability to support scalable contact management and smoother deployment.
October 2025: Delivered core improvements to contact data handling and expanded test coverage for import workflows in weni-ai/flows. Focused on data accuracy, test reliability, and maintainability to support scalable contact management and smoother deployment.
September 2025 for weni-ai/flows focused on strengthening data quality and observability around conversion events for WhatsApp channels, with emphasis on CTWA data, WABA ID handling, and purchase conversions. Delivered features include propagation and validation of WhatsApp WABA ID across conversion processing, aligned configuration naming (wa_waba_id), improved error reporting and structured responses for Meta and Datalake integrations, and robust validation for purchase conversion value/currency. Updated WENI changelog across versions 3.38.1–3.39.1. These efforts improved attribution accuracy, data integrity, and developer/operator visibility, enabling more reliable business decisions and faster issue resolution.
September 2025 for weni-ai/flows focused on strengthening data quality and observability around conversion events for WhatsApp channels, with emphasis on CTWA data, WABA ID handling, and purchase conversions. Delivered features include propagation and validation of WhatsApp WABA ID across conversion processing, aligned configuration naming (wa_waba_id), improved error reporting and structured responses for Meta and Datalake integrations, and robust validation for purchase conversion value/currency. Updated WENI changelog across versions 3.38.1–3.39.1. These efforts improved attribution accuracy, data integrity, and developer/operator visibility, enabling more reliable business decisions and faster issue resolution.
August 2025 monthly summary for weni-ai/flows: Focused on delivering richer conversion event data models, stabilizing error handling, and strengthening cross-system integration with Datalake and Meta. The work improved data fidelity, reliability, and release readiness, enabling more accurate attribution and analytics across channels.
August 2025 monthly summary for weni-ai/flows: Focused on delivering richer conversion event data models, stabilizing error handling, and strengthening cross-system integration with Datalake and Meta. The work improved data fidelity, reliability, and release readiness, enabling more accurate attribution and analytics across channels.
July 2025 monthly summary for weni-ai/flows focusing on delivering robust Conversion Event Tracking and CTWA data retrieval improvements, strengthening data integrity, and expanding validation and test coverage.
July 2025 monthly summary for weni-ai/flows focusing on delivering robust Conversion Event Tracking and CTWA data retrieval improvements, strengthening data integrity, and expanding validation and test coverage.
June 2025 monthly summary for weni-ai/flows: Implemented CTWA External Conversion Event Handling, introducing a dedicated module to process Click to WhatsApp conversion events. The module provides an API endpoint to receive events, enforces data validation, retrieves CTWA-specific data, and forwards validated events to the Meta Conversion API. Added CTWA data models, serializers, URL routing, and view logic. This work establishes a scalable foundation for CTWA-based attribution and downstream analytics.
June 2025 monthly summary for weni-ai/flows: Implemented CTWA External Conversion Event Handling, introducing a dedicated module to process Click to WhatsApp conversion events. The module provides an API endpoint to receive events, enforces data validation, retrieves CTWA-specific data, and forwards validated events to the Meta Conversion API. Added CTWA data models, serializers, URL routing, and view logic. This work establishes a scalable foundation for CTWA-based attribution and downstream analytics.
May 2025 Monthly Summary for weni-ai/flows: Hardened Whatsapp broadcast payload validation and improved test coverage to ensure reliability and clear API feedback. Implemented a requirement that WhatsappBroadcastWriteSerializer payloads include at least one content field (text, attachments, template, or typing_indicator), with a refactor of validation logic for readability and maintainability and corresponding test updates. Impact: reduces invalid broadcasts in production, decreases support load, and improves maintainability.
May 2025 Monthly Summary for weni-ai/flows: Hardened Whatsapp broadcast payload validation and improved test coverage to ensure reliability and clear API feedback. Implemented a requirement that WhatsappBroadcastWriteSerializer payloads include at least one content field (text, attachments, template, or typing_indicator), with a refactor of validation logic for readability and maintainability and corresponding test updates. Impact: reduces invalid broadcasts in production, decreases support load, and improves maintainability.
March 2025 monthly work summary for weni-ai/flows: Implemented localized content support for WhatsApp broadcasts and stabilized test coverage with locale metadata alignment, enhancing global reach and reliability.
March 2025 monthly work summary for weni-ai/flows: Implemented localized content support for WhatsApp broadcasts and stabilized test coverage with locale metadata alignment, enhancing global reach and reliability.
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