Ravi Kolte

Vector Solutions is a leading provider of training, compliance, and performance management solutions, offering e-learning and SaaS-based tools for various industries, including public safety, education, and industrial sectors.

Technologies Used: Selenium, Appium, Behave (BDD), Python, Java, GitLab CI/CD, Jenkins, Docker, AWS Device Farm, JIRA, PractiTest, iOS, Android.

• Leading a team of 5 in a horizontal Automation Team, responsible for automating tests across multiple products.
• Developing and maintaining automation frameworks using Python (Pytest) and Selenium with C#.
• Executing tests with Testery and continuously upgrading and improving automation frameworks.
• Automating UI, API, and GraphQL tests, ensuring comprehensive test coverage.
• Utilizing Amazon Q for AI-powered testing and automation enhancements.

CoinZoom is a US-based cryptocurrency exchange enabling users to buy, sell, and trade digital assets like Bitcoin, Ethereum, and Litecoin. It offers a secure platform with advanced trading features and fiat on/off ramps.

Technologies Used: Selenium, Appium, Behave (BDD), Python, Java, GitLab CI/CD, Jenkins, Docker, AWS Device Farm, JIRA, PractiTest, iOS, Android.

• Led a team of three, overseeing web and mobile automation activities.
• Developed and maintained web automation test scripts using Selenium and Python with the BDD Behave framework.
• Created and managed Docker images for test automation and integrated them with GitLab CI/CD pipelines.
• Integrated GitLab CI/CD with PractiTest for automated test execution and reporting.
• Integrated GitLab CI/CD with AWS Device Farm for automated mobile testing on real devices.
• Automated mobile testing for iOS and Android using Java and Selenium.
• Identified, designed, and executed automation test cases, including regression testing.

Nissan North America (MaritzCX)

MaritzCX manages customer feedback for Nissan’s sales and service operations. Automated surveys are sent post-purchase or service, and responses are processed based on question type and sentiment analysis. Dealer and service center scores are generated from feedback, providing performance reports, alerts, and insights via a web portal. The system also handles dealer and employee management, assigning roles for controlled access to reports and functionalities.

Technologies Used: Selenium, C#, JIRA, Jenkins, Agile/Scrum

• Developed web automation test scripts using Selenium and C#.
• Performed regression testing and defect validation.
• Implemented CI/CD pipelines in Jenkins for automated test execution and reporting.
• Collaborated with clients to understand requirements and improve test coverage.
• Participated in Scrum activities and defect tracking in JIRA.

MaritzCX (now part of InMoment) is a leading customer experience (CX) platform that helps businesses collect, analyze, and act on customer feedback. InMoment specializes in AI-driven experience improvement solutions, enabling organizations to enhance customer and employee engagement through real-time insights and analytics

• Developed and executed manual test cases using MTX, an internal test management tool.
• Performed regression testing and defect validation across multiple QA environments.
• Collaborated with clients and teams to refine requirements and enhance test coverage.
• Actively participated in Scrum ceremonies, including defect tracking in JIRA.

• Company Overview: InMoment deals with the survey conducted for the Sales and Service of the automobile vehicles
• Feedback from the customers gets processed and on the basis of that reports are generated for dealers along with KPI which help them improve their service for their dealership
• Developing Web Automation Test Scripts using Selenium and C#
• Implementation of CI/CD using Jenkins
• Identifying and selecting the automation test cases
• Managing the changes and executing regression tests
• Praticipating in Scrum Activities
• Raising defects in JIRA and re-testing
• InMoment deals with the survey conducted for the Sales and Service of the automobile vehicles
• Feedback from the customers gets processed and on the basis of that reports are generated for dealers along with KPI which help them improve their service for their dealership