Pranav Pandit is a seasoned Software Engineer in Test at Lyft, where he leverages over a decade of technical expertise in software testing and development to enhance the quality and performance of mobile applications. With a robust background in the software development lifecycle, Pranav has...
Pranav Pandit is a seasoned Software Engineer in Test at Lyft, where he leverages over a decade of technical expertise in software testing and development to enhance the quality and performance of mobile applications. With a robust background in the software development lifecycle, Pranav has honed his skills in designing and developing automation tools, particularly excelling in the automation of both new and existing mobile app features using frameworks like Espresso and XCUI Test. His proficiency in Python allows him to create efficient automation scripts for server-side features, ensuring seamless integration and functionality across platforms.
At Lyft, Pranav is instrumental in building and improving the existing automation framework and infrastructure, which is crucial for maintaining high standards of software quality assurance. He meticulously develops and executes comprehensive test plans that validate both mobile applications and server-side functionalities, ensuring that every release meets the rigorous demands of users and stakeholders alike. His hands-on experience with technologies such as VMware ESX, Active Directory, and Wireshark further enhances his ability to troubleshoot and optimize testing environments.
Pranav's commitment to continuous improvement is evident in his proactive approach to refining testing processes and methodologies. By staying abreast of industry trends and emerging technologies, he not only contributes to the immediate success of his projects but also positions Lyft at the forefront of innovation in the transportation sector. His blend of technical acumen and strategic insight makes him a valuable asset to the Lyft engineering team, driving quality and reliability in every aspect of software delivery.
