Hi! I am a fifth-year Computer Science PhD student at University of California, Berkeley, advised by Chris Fletcher. I work on understanding efficient implementations of domain-specific kernels with a focus on building abstractions that unify a wide variety of kernels and accelerator designs into a small set of primitives, in collaboration with Joel Emer and Michael Pellauer. I have applied this analysis to a range of domains, including sparse tensor algebra, transformers, and fully homomorphic encryption.

I transferred to UC Berkeley in January 2024 following my advisor, before which, I was a student at University of Illinois Urbana-Champaign. There, I worked on hardware security and began my research on domain-specific kernels.

Before coming to the University of Illinois, I completed my B.S. in Computer Science from Harvey Mudd College in 2020. There, I worked with Chris Clark in the Lab for Autonomous and Intelligent Robotics. Additionally, for my senior capstone project, I added a numerical programming library to the programming language Factor.

In my free time, I enjoy cooking, social dancing, traveling with my family, and studying Korean.

Please feel free to reach out to me by email at nandeeka [at] berkeley [dot] edu, on GitHub, or on LinkedIn.