
Viranga developed and maintained robust automated testing frameworks for GetCodifyAI’s cut-dry-automation-framework and cut-dry-ui-automation-restaurant repositories, focusing on end-to-end order processing, catalog workflows, and UI validation. Leveraging Java, Selenium, and TestNG, Viranga engineered test suites that covered complex business logic such as multi-UOM ordering, supplier-driven flows, and ERP integrations. The work included stabilizing CI/CD pipelines, refining XPath selectors, and generalizing test data for scalability. By expanding coverage for order guides, pricing, and customer eligibility, Viranga’s contributions reduced regression risk and manual QA effort, resulting in more reliable releases and maintainable automation across evolving product requirements and environments.

February 2026 focused on stabilizing automated validation in two GetCodifyAI frameworks and generalizing test coverage to support scalable QA pipelines, with direct impact on order processing reliability and developer velocity.
February 2026 focused on stabilizing automated validation in two GetCodifyAI frameworks and generalizing test coverage to support scalable QA pipelines, with direct impact on order processing reliability and developer velocity.
January 2026 monthly summary: Delivered key features and reliability improvements across the cut-dry-automation-framework and cut-dry-ui-automation-restaurant. Focused on end-to-end order processing, expanded test coverage, and robust CI/CD automation. Highlights include stabilizing order submission and approval flows, introducing boost filter controls, adding substitute product functionality, enabling unit-of-measure (UOM) pricing retrieval, and managing order guides. Automation framework reliability improvements reduced flaky tests and improved test data handling, while CircleCI-based CI/CD enhancements provided daily builds, regression testing, and scheduled tests on key branches using Java 22, Maven, and Chrome. Business impact: higher order processing reliability, faster release cycles, and more maintainable automation.
January 2026 monthly summary: Delivered key features and reliability improvements across the cut-dry-automation-framework and cut-dry-ui-automation-restaurant. Focused on end-to-end order processing, expanded test coverage, and robust CI/CD automation. Highlights include stabilizing order submission and approval flows, introducing boost filter controls, adding substitute product functionality, enabling unit-of-measure (UOM) pricing retrieval, and managing order guides. Automation framework reliability improvements reduced flaky tests and improved test data handling, while CircleCI-based CI/CD enhancements provided daily builds, regression testing, and scheduled tests on key branches using Java 22, Maven, and Chrome. Business impact: higher order processing reliability, faster release cycles, and more maintainable automation.
December 2025 monthly summary focusing on business value and technical achievements across two repos: GetCodifyAI/cut-dry-ui-automation-restaurant and GetCodifyAI/cut-dry-automation-framework. The month delivered substantial automation reliability improvements, expanded target support, and broader test coverage, resulting in measurable reductions in flaky tests and faster iteration for new capabilities.
December 2025 monthly summary focusing on business value and technical achievements across two repos: GetCodifyAI/cut-dry-ui-automation-restaurant and GetCodifyAI/cut-dry-automation-framework. The month delivered substantial automation reliability improvements, expanded target support, and broader test coverage, resulting in measurable reductions in flaky tests and faster iteration for new capabilities.
November 2025 Monthly Summary: Demonstrated strong capability in delivering business-critical automation improvements across GetCodifyAI's ordering and catalog workflows, with a clear focus on reducing manual steps, improving data integrity, and enabling scalable supplier-driven processes. The work spanned both the automation framework and UI automation for restaurant catalog flows, delivering features that streamline ordering, enhance catalog usability, and strengthen end-to-end test coverage.
November 2025 Monthly Summary: Demonstrated strong capability in delivering business-critical automation improvements across GetCodifyAI's ordering and catalog workflows, with a clear focus on reducing manual steps, improving data integrity, and enabling scalable supplier-driven processes. The work spanned both the automation framework and UI automation for restaurant catalog flows, delivering features that streamline ordering, enhance catalog usability, and strengthen end-to-end test coverage.
October 2025 performance snapshot: Delivered critical checkout and order-guide enhancements, strengthened UI automation, and hardened release pipelines. Implemented multi-address delivery in checkout, expanded order guides and price visibility controls, and added robust tests for holds and inactive items. Achieved a more reliable automation layer, improved catalog sorting validation, and stabilized CI configuration to reduce flaky releases. Business value: smoother checkout experience, better pricing control, faster feedback from automated tests, and safer releases with fewer interruptions.
October 2025 performance snapshot: Delivered critical checkout and order-guide enhancements, strengthened UI automation, and hardened release pipelines. Implemented multi-address delivery in checkout, expanded order guides and price visibility controls, and added robust tests for holds and inactive items. Achieved a more reliable automation layer, improved catalog sorting validation, and stabilized CI configuration to reduce flaky releases. Business value: smoother checkout experience, better pricing control, faster feedback from automated tests, and safer releases with fewer interruptions.
September 2025 monthly summary focusing on feature delivery, bug fixes, and impact across automation framework and UI automation projects.
September 2025 monthly summary focusing on feature delivery, bug fixes, and impact across automation framework and UI automation projects.
Monthly summary for 2025-08: Delivered multiple enhancements across the cut-dry automation suite, emphasizing reliability, test coverage, and business-critical flows. Key CI/CD improvements reduced flaky deployments, automated testing stability was strengthened, and customer- and ERP-related workflows gained broader coverage. Revenue visibility enhancements in the UI flow improve order edit accuracy and finance traceability. Overall, these efforts shortened feedback loops, reduced release risk, and demonstrated strong proficiency in test automation, CI/CD, and workflow validation.
Monthly summary for 2025-08: Delivered multiple enhancements across the cut-dry automation suite, emphasizing reliability, test coverage, and business-critical flows. Key CI/CD improvements reduced flaky deployments, automated testing stability was strengthened, and customer- and ERP-related workflows gained broader coverage. Revenue visibility enhancements in the UI flow improve order edit accuracy and finance traceability. Overall, these efforts shortened feedback loops, reduced release risk, and demonstrated strong proficiency in test automation, CI/CD, and workflow validation.
July 2025 monthly summary for GetCodifyAI: The team delivered a substantial expansion of automated testing and configuration improvements across two repositories, strengthening regression coverage, reliability, and release confidence for critical ordering flows and ERP integrations.
July 2025 monthly summary for GetCodifyAI: The team delivered a substantial expansion of automated testing and configuration improvements across two repositories, strengthening regression coverage, reliability, and release confidence for critical ordering flows and ERP integrations.
June 2025 focused on expanding automated testing coverage for critical order workflows and UI components across two repositories, with an emphasis on reducing release risk and validating business rules around order editing, ERP integration, and Purchase History visibility. The work delivered concrete, test-driven validation of end-user journeys and toggled UI behaviors, enabling faster feedback and higher confidence in deployments.
June 2025 focused on expanding automated testing coverage for critical order workflows and UI components across two repositories, with an emphasis on reducing release risk and validating business rules around order editing, ERP integration, and Purchase History visibility. The work delivered concrete, test-driven validation of end-user journeys and toggled UI behaviors, enabling faster feedback and higher confidence in deployments.
May 2025 performance summary: Delivered a broad and impactful enhancement to automated testing across two GetCodifyAI repositories (cut-dry-automation-framework and cut-dry-ui-automation-restaurant). The focus was to increase test coverage for critical order flows, pricing controls, offline behavior, and multi-account scenarios, while stabilizing automation to accelerate CI feedback and reduce production risk. Implemented configuration and feature gating changes to support safer feature rollouts and UAT gating.
May 2025 performance summary: Delivered a broad and impactful enhancement to automated testing across two GetCodifyAI repositories (cut-dry-automation-framework and cut-dry-ui-automation-restaurant). The focus was to increase test coverage for critical order flows, pricing controls, offline behavior, and multi-account scenarios, while stabilizing automation to accelerate CI feedback and reduce production risk. Implemented configuration and feature gating changes to support safer feature rollouts and UAT gating.
April 2025 performance summary: Substantial expansion and stabilization of automated testing across two GetCodifyAI repos, delivering broad coverage for customer, supplier, and UI workflows while restoring test reliability and CI confidence. The work directly supports faster release cycles and reduced manual QA burden by validating critical business flows and correcting configuration-induced instability.
April 2025 performance summary: Substantial expansion and stabilization of automated testing across two GetCodifyAI repos, delivering broad coverage for customer, supplier, and UI workflows while restoring test reliability and CI confidence. The work directly supports faster release cycles and reduced manual QA burden by validating critical business flows and correcting configuration-induced instability.
March 2025 (2025-03) saw a focused push on configuration stability, expanded UOM test coverage, and CI/automation reliability across two GetCodifyAI repositories: cut-dry-ui-automation-restaurant and cut-dry-automation-framework. The month delivered consolidated configuration management across multiple parts, introduced and refined config changes, and bolstered regression handling, while expanding automated test suites and stabilizing the CI pipeline to drive faster, safer releases.
March 2025 (2025-03) saw a focused push on configuration stability, expanded UOM test coverage, and CI/automation reliability across two GetCodifyAI repositories: cut-dry-ui-automation-restaurant and cut-dry-automation-framework. The month delivered consolidated configuration management across multiple parts, introduced and refined config changes, and bolstered regression handling, while expanding automated test suites and stabilizing the CI pipeline to drive faster, safer releases.
February 2025 performance summary for GetCodifyAI projects. Focused on stabilizing automation, expanding end-to-end test coverage for pricing and multi-unit scenarios, and improving CI reliability across two repositories: cut-dry-ui-automation-restaurant and cut-dry-automation-framework. The month delivered concrete, business-value features and fixes that increased release confidence and reduced manual QA effort.
February 2025 performance summary for GetCodifyAI projects. Focused on stabilizing automation, expanding end-to-end test coverage for pricing and multi-unit scenarios, and improving CI reliability across two repositories: cut-dry-ui-automation-restaurant and cut-dry-automation-framework. The month delivered concrete, business-value features and fixes that increased release confidence and reduced manual QA effort.
January 2025 monthly summary: Expanded and stabilized automated end-to-end testing across GetCodifyAI’s Cut-Dry platforms. Delivered substantial test coverage improvements in both the automation framework and UI restaurant automation, focusing on route flow validation, unassigned stops, payout and invoice flows, supplier management, and draft-order scenarios. Fixed critical automation failures across multiple test campaigns, strengthened CI readiness with config management and night-build artifacts, and introduced data-driven test assets (CSV) to support repeatable runs. The work shortened feedback cycles, reduced flaky tests, and increased regression safety to accelerate release readiness.
January 2025 monthly summary: Expanded and stabilized automated end-to-end testing across GetCodifyAI’s Cut-Dry platforms. Delivered substantial test coverage improvements in both the automation framework and UI restaurant automation, focusing on route flow validation, unassigned stops, payout and invoice flows, supplier management, and draft-order scenarios. Fixed critical automation failures across multiple test campaigns, strengthened CI readiness with config management and night-build artifacts, and introduced data-driven test assets (CSV) to support repeatable runs. The work shortened feedback cycles, reduced flaky tests, and increased regression safety to accelerate release readiness.
December 2024 monthly summary focusing on delivering a broad expansion of end-to-end test automation across core workflows and UI interactions, with a focus on business value and reliability.
December 2024 monthly summary focusing on delivering a broad expansion of end-to-end test automation across core workflows and UI interactions, with a focus on business value and reliability.
Delivered a set of high-impact features and robust QA automation in 2024-11 across two repositories. Business value: faster order issue resolution, streamlined credit decision workflow, automated invoicing and payment processes, improved test coverage for tracker and reporting capabilities, and CI-ready automation that reduces regression risk.
Delivered a set of high-impact features and robust QA automation in 2024-11 across two repositories. Business value: faster order issue resolution, streamlined credit decision workflow, automated invoicing and payment processes, improved test coverage for tracker and reporting capabilities, and CI-ready automation that reduces regression risk.
Overview of all repositories you've contributed to across your timeline