Signed in as:
filler@godaddy.com
Signed in as:
filler@godaddy.com
Client: Payment Solutions Provider
Role: Technical Consultant
Tech Stack: Kubernetes, Azure Cloud, Cucumber, Java, Gatling
Challenge:
A major payment solutions provider sought to launch a digital payment platform in a new region. The challenge was to ensure seamless API functionality, handle peak trading hours, and maintain a fast-paced deployment cycle.
Solution:
• Automated acceptance criteria validation using API tests, streamlining the testing process and reducing manual efforts.
• Implemented performance testing with Gatling, identifying and addressing potential stress points to ensure the platform’s stability during peak hours.
• Optimized test automation, driving fast deployments and minimizing manual intervention.
Impact:
• Improved deployment frequency, reducing downtime and ensuring stable customer transactions during peak hours.
• Enhanced system reliability, reducing incidents and improving operational efficiency, leading to lower operational costs.
Client: Mobile Service Provider
Role: Test Automation Lead
Tech Stack: WebdriverIO, Appium, TypeScript, mitmproxy, Gatling
Challenge:
A leading UK mobile service provider needed robust testing for its user-facing agents across multiple platforms, including browsers, Android, and iOS. The goal was to ensure flawless functionality and performance.
Solution:
• Developed a cross-platform test automation framework using WebdriverIO and Appium, with request/response mocking using mitmproxy.
• Integrated AXE for accessibility testing, improving application accessibility.
• Conducted performance testing using Gatling to ensure system performance across various environments.
Impact:
• Reduced bugs and improved user experience across platforms.
• Enhanced accessibility, expanding the application’s user base.
• Automated testing in the CI pipeline, reducing manual testing time and operational costs.
Client: Retail Website
Role: QA Engineer
Tech Stack: Testcafe, Cypress, Grafana, Gatling
Challenge:
A leading retail website aimed to launch a new product detail page with high availability and scalability during traffic spikes. Ensuring minimal disruption to the customer experience was a top priority.
Solution:
• Migrated from Testcafe to Cypress for improved reliability, enabling smoother automated testing.
• Developed performance tests using Gatling to assess scalability during traffic surges.
• Leveraged Grafana and Kibana for monitoring and logging, providing real-time insights into application performance.
Impact:
• Enhanced performance during high traffic periods, preventing downtime and ensuring a smooth user experience.
• Accelerated the deployment process with continuous integration, reducing testing time.
• Reduced operational costs through more efficient deployment and testing processes.
Client: Gaming Company
Role: Software Engineer
Tech Stack: Selenium, Rest Assured, Gradle, GitLab CI, Kubernetes
Challenge:
A gaming company needed automation for repetitive in-game tasks to enhance the player experience. The challenge was to ensure that the automation could scale effectively across multiple server accounts.
Solution:
• Created a data-driven automation framework using Selenium and Rest Assured to automate game processes.
• Leveraged Kubernetes for scalable test execution, handling multiple accounts simultaneously.
• Integrated Redis to improve performance by caching data between runs.
Impact:
• Reduced player time on repetitive tasks, improving user satisfaction.
• Increased automation efficiency, enabling faster updates and smoother gameplay.
• Optimized infrastructure costs with scalable test execution and improved resource utilization.
Client: HealthTech Company
Role: Quality Consultant
Tech Stack: AWS, Appium, WebdriverIO, JavaScript, Chai
Challenge:
A healthtech company required automated testing for a platform that allowed medical practitioners to create and share digital health documents. Ensuring cross-platform compatibility and smooth deployment was critical.
Solution:
• Developed an automated testing framework using WebdriverIO and Appium for cross-platform testing.
• Implemented API validation for GraphQL queries and mutations.
• Set up end-to-end tests on simulators through AWS Device Farm for a reliable testing environment.
Impact:
• Achieved higher test coverage, ensuring a stable platform with frequent deployments.
• Reduced manual testing efforts, speeding up the delivery of new features.
• Enhanced reliability and performance, ensuring a robust user experience for medical professionals.
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