I’m an engineer at NVIDIA focused on Agentic AI, working on multi-agent systems, agent harnesses, agent skills, hooks for enforcing development standards with enterprise-scale use of agents.
Previously, I completed my undergrad in CS & Math at the University of Maryland, where I researched collective communication in deep learning workloads and network-induced variability in exascale GPU-accelerated supercomputers under Abhinav Bhatele in the Parallel Software and Systems Group.
My research interests include Systems for ML, High-Performance Computing, and AI Agents.
The Big Send-off: Scalable and Performant Collectives for Deep Learning
Siddharth Singh, Keshav Pradeep, Mahua Singh, Cunyang Wei, Abhinav Bhatele
IPDPS 2026 · pdf · website
The Case of the Elusive Application Performance on Production GPU Supercomputers
Cunyang Wei, Keshav Pradeep, Abhinav Bhatele
IPDPS 2026 · pdf · website
Optimizing Collectives with Large Payloads on GPU-based Supercomputers
Siddharth Singh, Mahua Singh, Keshav Pradeep, Abhinav Bhatele
SC 2025 · poster · abstract
Unmasking Performance Variability in GPU Codes on Production Supercomputers
Cunyang Wei, Keshav Pradeep, Abhinav Bhatele
SC 2025 · poster · abstract
Unmasking Performance Variability in GPU Codes on Production Supercomputers
Cunyang Wei, Keshav Pradeep, Abhinav Bhatele
MUG 2025 · poster