As a software engineer at HPE, I apply my passion for solving real-world problems with the concepts and skills that I have learned in computer science. I work on functional and smoke test automation using pytest, a popular framework for Python testing.I also leverage my knowledge of machine learning and deep learning to automate the installation, configuration, execution, and collection of log files of IOR stress test tool kit, a tool that measures the performance of parallel file systems. This project has improved the efficiency and reliability of the testing process and reduced the manual effort required.I started my journey at HPE as a software engineer intern in July 2021, where I gained valuable experience and exposure to the software industry and internet software domain. I received multiple certifications in Python, machine learning, and neural networks from reputed online platforms, which helped me enhance my skills and competencies.I graduated from KPR Institute of Engineering and Technology in 2022 with a bachelor's degree in computer science engineering. I learned the fundamentals and applications of computer science, such as data structures, algorithms, operating systems, databases, and networks. I also participated in several academic projects and competitions that challenged me to apply my theoretical knowledge to practical scenarios.I am an enthusiastic young mind who is eager to learn new things and grow as a professional. I am motivated by the opportunity to contribute to the innovation and success of HPE, a global leader in enterprise technology. I am always looking for ways to improve my skills, collaborate with others, and deliver high-quality solutions.