Udit Jain

Background

About Udit Jain

Quality Assurance Leader and Automation expert with over 15 years of experience, including more than 5 years in QA Team Management. Proven expertise in Test Framework Development, Automated UI(Web, Desktop & Mobile Apps) & API Testing and adept in leading QA teams to success. Skilled in multiple programming languages and testing tools, with a passion for continuous learning and improvement. Key Accomplishments : AI Agent for TestCase generation: Developed a Python based AI Agent using Google Gemini AI model which creates TestCases for 'In Progress' Stories. The Agent pulls details of the Jira Stories using Jira API and then processes their information through the AI model and generates TestCases in Google Sheets/Testrail Impact: Reduced manual efforts for creation of TestCases for new Stories Automating Publishing Processes for Macmillan: During my onsite tenure in New York, I developed an Automated Publishing System that used Excel sheets with specific data formatting to automate book publishing. Impact: Reduced publishing efforts by 94%, boosting productivity and aligning technical solutions with business goals. Automating Performance Testing Reporting: Designed a system to automate JMeter execution, log processing, and custom report generation with charts on Google Sheets. Impact: Streamlined reporting, reduced manual effort, and enabled faster, data-driven decision-making. Build Verification Tool for Adobe: Created a Python-based framework to verify installer builds for Adobe products. Impact: Delivered detailed build status reports via email, ensuring quicker and more reliable build verifications. Express.js Service-Based UI Automation: Developed backend APIs using Express.js to support frontend requests for a no-code UI automation platform powered by Selenium. Impact: Made UI automation accessible to non-technical users, simplifying complex tasks. Jira Integration for Customer Support Insights: Built a system to fetch Jira ticket data, update Google Sheets with real-time ticket details, and generate charts for performance insights. Impact: Provided stakeholders with a comprehensive view of ticket statuses, SLAs, and trends, driving actionable improvements. Scalable API Testing Framework: Developed a framework to efficiently test APIs using large datasets from Excel sheets, addressing memory management and scalability challenges. Impact: Optimized performance, reduced manual effort, and handled high data volumes for complex scenario.