Pramod Bommisetty
About Pramod Bommisetty
Pramod Bommisetty serves as the Director of QA at Soul Machines in Auckland, New Zealand, where he has worked since 2021. He has developed automation frameworks for various platforms and possesses expertise in advanced technologies such as NLP and real-time communication applications.
Work at Soul Machines
Pramod Bommisetty has served as the Director of QA at Soul Machines since 2021. In this role, he is responsible for overseeing quality assurance processes and ensuring the reliability of software products. His work involves developing automation frameworks tailored for various platforms, including Desktop, Web, Mobile, and Cloud applications. Based in Auckland, New Zealand, he has contributed to enhancing the quality and efficiency of the company's software offerings.
Education and Expertise
Pramod Bommisetty has a solid educational background in software engineering and management. He earned a Master of Science in Software Engineering from the Birla Institute of Technology and Science, Pilani, from 2005 to 2008. He also holds a Postgraduate Diploma in Customer Relationship Management from Symbiosis Institute of Management Studies, completed between 2007 and 2009. Additionally, he obtained a Bachelor of Computer Applications from Andhra University, studying from 2001 to 2004. His education has equipped him with a comprehensive understanding of both technical and managerial aspects of software development.
Technical Skills and Tools
Pramod Bommisetty possesses extensive technical skills in quality assurance and automation. He is proficient in a variety of automation tools, including Katalon, WatiN, VSTS (Coded UI), Selenium WebDriver, Protractor, White, Sekuli, Cucumber, and Microsoft proprietary tools. His expertise extends to advanced technologies such as Natural Language Processing (NLP), Speech to Text, and Text to Speech. He utilizes Botium for chatbot conversation automation and has experience with WebRTC and Web sockets for real-time communication applications.
Research and Development in AI Automation
In his role, Pramod Bommisetty conducts research and develops machine learning scripts aimed at visual-based AI automation. He has a strong foundation in defining and designing test cases, as well as developing and maintaining test scripts. His experience includes analyzing bugs, conducting test planning, and debugging, which contributes to the overall efficiency of the software testing process.
Understanding of Software Development Life Cycle
Pramod Bommisetty has a comprehensive understanding of the software development life cycle (SDLC) and the software testing life cycle (STLC). He is well-versed in Agile methodology, which enhances his ability to adapt to changing project requirements and deliver quality software efficiently. His knowledge in these areas supports his role in ensuring that software products meet high standards of quality and performance.