San Francisco Bay Area
I'm an ML Engineer at Apple in the platform architecture group. I recently completed my PhD in the Berkeley EECS department, where I studied high-performance computing and numerical linear algebra. I was funded by a Department of Energy Computational Science graduate fellowship. See my personal website, vivek-bharadwaj.com, for more details.
Geometric deep learning, sparse computations, randomized algorithms, and graph problems, advised by Jim Demmel and Aydın Buluç in the fantastic EECS department.
Worked on cuSPARSELt, a library for structured sparse-times-dense matrix multiplication for ML workloads, and explored JIT capabilities for cuSPARSE.
CS38: Algorithms (3 quarters), CS21: Decidability and Tractability (1 quarter)