I am a PhD student in Computer Science at Purdue University
studying compilers, advised by Professor
Milind Kulkarni.
My research interests lie in using staging compilers to improve the
performance of high performance systems. I have looked at improving the
performance of operations over files stored in distributed file systems
(NSDI'23,
GPCE'24)
and I am currently looking into further extending the idea to speed up
sparse tensor computations.
During the summer of 2023, I interned
at Apple, working on a custom target and runtime for the Swift
programming language.
As an undergrad, I interned with Princeton University for multiple
years, working on software for High Energy Physics. During this period,
I was a core developer of two software projects that found
significant adoption in the Physics community -
Awkward Array (library for irregularly shaped tensor computations) and
uproot (Python
re-implementation of I/O for physics motivated by interoperability
with other existing Python packages). I also made significant contributions
to the following LLVM based projects:
Enzyme,
Cling and
Clang.
My CV can be found
here.
