
Keerthi contributed to the Namma-Flutter/namma_wallet repository over four months, focusing on building robust data parsing and AI-driven features for mobile ticketing workflows. Leveraging Dart and Flutter, Keerthi unified travel ticket data models, implemented an IRCTC PDF parser with comprehensive test coverage, and integrated on-device LLM capabilities for offline data extraction. The work included backend integration, code refactoring, and dependency management to ensure maintainability and reliability. By aligning data pipelines and optimizing UI components, Keerthi improved data integrity and reduced technical debt, enabling faster feature delivery and stable builds. The engineering approach emphasized test-driven development and consistent code quality.

December 2025 (Namma-Flutter/namma_wallet) delivered substantial parser, data, and UI improvements across IRCTC ingestion and station data workflows. The work focused on building robust test coverage, stabilizing data pipelines, and improving end-user data presentation, with a strong emphasis on business value and reliability.
December 2025 (Namma-Flutter/namma_wallet) delivered substantial parser, data, and UI improvements across IRCTC ingestion and station data workflows. The work focused on building robust test coverage, stabilizing data pipelines, and improving end-user data presentation, with a strong emphasis on business value and reliability.
November 2025 — Namma Wallet: Focused on delivering a unified Travel Ticket data model and parsing improvements, expanding test coverage, and laying groundwork for scalable ticket types. Completed splash screen groundwork and implemented code quality improvements across Dart/Flutter, with alignment of IRCTC/TNSTC parsers and wallet parsing, driving data consistency and faster feature delivery.
November 2025 — Namma Wallet: Focused on delivering a unified Travel Ticket data model and parsing improvements, expanding test coverage, and laying groundwork for scalable ticket types. Completed splash screen groundwork and implemented code quality improvements across Dart/Flutter, with alignment of IRCTC/TNSTC parsers and wallet parsing, driving data consistency and faster feature delivery.
October 2025 performance summary for Namma Wallet: Focused on delivering AI-enabled data extraction and on-device LLM capabilities, plus refactoring Flutter mapper and enforcing code quality. Resulted in improved offline data processing, maintainability, and faster development cycles, with stable builds and consistent code style across the repository.
October 2025 performance summary for Namma Wallet: Focused on delivering AI-enabled data extraction and on-device LLM capabilities, plus refactoring Flutter mapper and enforcing code quality. Resulted in improved offline data processing, maintainability, and faster development cycles, with stable builds and consistent code style across the repository.
September 2025 monthly summary for Namma-Flutter/namma_wallet: Focused on stabilizing core data models and reducing technical debt through targeted bug fixes and SDK maintenance. Delivered a robust fix for TNSTCModel to GenericDetailModel conversion, ensured data integrity by updating mappings and fields, and performed codebase cleanup by pinning Flutter SDK and removing deprecated models. These changes improve reliability, maintainability, and future delivery velocity.
September 2025 monthly summary for Namma-Flutter/namma_wallet: Focused on stabilizing core data models and reducing technical debt through targeted bug fixes and SDK maintenance. Delivered a robust fix for TNSTCModel to GenericDetailModel conversion, ensured data integrity by updating mappings and fields, and performed codebase cleanup by pinning Flutter SDK and removing deprecated models. These changes improve reliability, maintainability, and future delivery velocity.
Overview of all repositories you've contributed to across your timeline