Summary
Sidharth Babu is a graduate research assistant in CMU's ECE program with eight years of engineering experience focused on ML systems, compiler toolchains, and GPU/kernel-level performance for on-device and data-center inference. He collaborates with Professor Tianqi Chen and the Catalyst group on open-source ML compiler work and GPU kernel development, bringing practical R&D experience from internships at Keysight and Adobe that spanned RDMA, NCCL benchmarking, and Linux kernel modules. Comfortable across the full stack—from embedded RTOS firmware for race vehicles to low-level networking and accelerator simulation—he blends systems-level rigor with hands-on development. As a former leader of Longhorn Racing Solar and founder of a civic-tech nonprofit, he pairs technical depth with cross-functional project leadership and stakeholder engagement. Notably, his background includes creating GPU communication virtualization and high-fidelity benchmarks that enable realistic testing of large-scale AI workloads.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at The University of Texas at Austin
High School Diploma STEM, High School Diploma STEM at Brentwood High School
Master's degree Computer Engineering, Master's degree Computer Engineering at Carnegie Mellon University