Summary
Avinash Sharma is an experienced software engineer with nine years focused on ML compiler and runtime infrastructure, currently at AMD working on MLIR, SHARK, and IREE for AMD GPUs. He helped scale nod.ai’s MLIR-based kernel generation and model lowering prior to AMD’s acquisition, bringing deep hands-on expertise in bridging research compilers to production GPU targets. His background includes backend API development for enterprise data quality at Reltio and practical mobile and internship experience that shaped a pragmatic engineering approach. Based in the San Francisco Bay Area, Avinash combines graduate-level computer science training from USC with a strong foundation from Cal Poly SLO, and is known for translating low-level compiler work into deployable ML systems.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Southern California
California Polytechnic State University, San Luis Obispo
Henry M. Gunn High School