About

Garvit Kulshreshtha is a highly skilled System Software Engineer with a focus on Deep Learning Performance Analysis and Tools and Infrastructure. Currently an Intern at NVIDIA, Garvit has been involved in Profiling Tools and Infrastructure development, contributing to the advancement of the field. With a Bachelor of Technology in Computer Science from Vishwakarma Institute of Technology, Garvit has gained extensive experience in software engineering, deep learning, and infrastructure development over the past 3.86 years. Garvit's expertise in Deep Learning Performance Analysis has been honed through his work as a System Software Engineer at NVIDIA, where he was responsible for developing and implementing tools and infrastructure to enhance deep learning performance. He has also contributed to the development of Deep Learning Tools and Infrastructure, demonstrating his ability to work across a range of areas in software engineering. Garvit's technical skills include software engineering, deep learning, and infrastructure development. He is highly skilled in programming languages such as C++, Python, and Java, and has experience working with various software development tools and frameworks. His ability to work with new technologies and adapt to changing environments has made him a valuable asset to any team. Garvit is a highly motivated and goal-oriented individual who is passionate about software engineering and its potential to drive innovation. He is committed to delivering high-quality work and is always striving to learn new skills and techniques to further his career. With his extensive experience in software engineering and deep learning, Garvit is well-positioned to take on new challenges and make a significant contribution to any organization.