High Performance Computing System Analyst at Hewlett Packard Enterprise
Knoxville, Tennessee, United States
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Aniruddh Rao is a High Performance Computing System Analyst with 8 years of experience optimizing and operating large-scale GPU clusters, currently supporting the Frontier exascale system at Oak Ridge National Laboratory for HPE. He blends deep systems engineering—Linux, ROCm/CUDA, MPI, SLURM—and infrastructure tooling (Grafana, Kafka, OpenSearch, TimescaleDB) to drive reliability and cut integration time for compute blades by over 50%. With an MS in Computer Science from the University of Michigan and an ICML–recognized research background in structured matrices, he moves comfortably between research-grade ML/NLP work and production GPU acceleration. Notably, he ported a distributed testing suite to more than 10,000 nodes across seven supercomputers and implemented theory-first CUDA matrix routines to speed AI workloads. He’s as comfortable debugging low-level compiler/HPC stack issues as he is leading multimodal AI projects that achieved human-level performance on targeted benchmarks. Based in Knoxville, TN, he focuses on HPC, LLMs, inference acceleration, and infrastructure modernization.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Michigan
Bachelor of Science - BS, Computer Science, 3.98/4.00, Bachelor of Science - BS, Computer Science, 3.98/4.00 at University at Buffalo
Contributions:19 commits, 2 PRs, 2 pushes in 1 year 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Aniruddh Rao - High Performance Computing System Analyst at Hewlett Packard Enterprise