I'm Krish, an undergraduate at Carnegie Mellon University studying mathematics and computer science. Sometimes I blog here about things I find interesting.
My favorite classes at CMU have been 15-251 (Theoretical Computer Science), 21-355/356 (Real Analysis I/II), and 02-251 (Great Ideas in Computational Biology).
Recently, I've been interested in real analysis, and its applications to machine learning. My current favorite paper is this one on machine learning techniques using geometric, topological, and algebraic structures.
I worked on the People Data Producer Experience team, where I built an AWS tool meant to help Amazon employees ingest large amounts of data into a data store.
Co-leading a staff of 45+ TAs. I'm responsible for managing the course staff, coordinating with professors, and ensuring a smooth learning experience for students.
CMU's course for introduction to data structures and algorithms and programming in C. I teach recitations, hold office hours and grade assignments.
I helped use protein language models to predict binding pockets of a certain class of proteins called non-ribisomal peptide synthetases. Read more at this paper.