Arnesh Sujanani is a fourth-year PhD student in Operations Research at Georgia Tech advised by Professor Renato D.C. Monteiro. He received his B.S. in Applied and Computational Mathematics from the University of Southern California in 2019. Broadly, his research interests lie in continuous optimization, numerical methods, and scientific computing. Currently, he is working on developing fast augmented Lagrangian methods for solving linearly-constrained nonconvex composite optimization problems.