About

Rohitash Mathur is an experienced Test Engineer with a demonstrated history of working in the health wellness and E-commerce industry. He is currently working as a Technology Quality Lead at Tiket.com and is responsible for evaluating and testing the stability and performance of the Core App vertical across platforms like Android, iOS, and Web. He has a good understanding of the software development process and testing process and is skilled in various tools based on testing and performance analysis. Rohitash has a Bachelor of Technology (B.Tech.) in Computer Science and Engineering from Uttar Pradesh Technical University. He has worked with various companies in the past, including WinZO and Paytm Payments Bank, where he was a Senior Quality Assurance Engineer. At WinZO, he helped deliver new games and user engagement products across platforms and tested features end to end functionally along with automation. At Paytm Payments Bank, he worked in the Transaction services team that manages the overall transactions for Paytm bank and tested the backend services and APIs. Rohitash has a strong quality assurance background and has introduced scripts to evaluate app launch, size, and rendering in both Android and iOS. He has defined this process to be introduced in the release cycle along with monitoring crash, ANR rate, and overall stability using internal dashboards. He has also helped onboard new engineers and held multiple knowledge sessions to inculcate technical and testing mindset in new and existing engineers. Rohitash has a multicultural team of 8 engineers, including interns, and has collaborated with teams to develop effective strategies and test plans. He has a tech stack that includes test, QA, Android, iOS, Mobile, Web, SDET, product manager, Backend, Software Engineer, Research Scientist, Python, Parts-of-speech, MySQL, Flask, AWS, Integration, Javascript, PHP, MongoDB, and UI. With 5.70 years of relevant experience, Rohitash is a strong quality assurance professional with a passion for testing and performance analysis.