
I’m currently a PhD student at Cornell University, advised by Dr. Rachee Singh. My research interests include systems, networking, and systems for machine learning. My work is supported by the NSF Graduate Research Fellowship Program.
Before starting my PhD, I was an engineer at NVIDIA working on scaling Agentic AI, including agent skills, harnesses, multi-agent systems, knowledge graphs, long-term memory, guardrails, and enterprise-scale token savings.
Before that, 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 Dr. Abhinav Bhatele in the Parallel Software and Systems Group.
Google Scholar · LinkedIn · GitHub · Email: rkp64 [at] cornell [dot] edu
The Big Send-off: Scalable and Performant Collectives for Deep Learning
Siddharth Singh, Keshav Pradeep, Mahua Singh, Cunyang Wei, Abhinav Bhatele
IPDPS 2026 · doi · pdf · website
The Case of the Elusive Application Performance on Production GPU Supercomputers
Cunyang Wei, Keshav Pradeep, Abhinav Bhatele
IPDPS 2026 · doi · pdf · website
Centralized AI Resource Platform (Eco)System: Making Skills from idea to trusted use
Mohit Gupta, Yogesh Dangi, Keshav Pradeep, Siddharth Itagi, Narendran Raghavan, Yashraj Basavaraj Patil, Wei Luo, Subodh Prabhu, Christopher Kevin, Amanda Burgmeier, Jean-Francois Puget, Pranita Maske, Moshe Abramovitch, Daniel Major, Alban Douillet, Ryan E. Wong
AI Agents Workshop at KDD 2026
SkillSpector: A Pre-Publication Security Control for Agent Skills
Nir Paz*, Keshav Pradeep*, Narendran Raghavan, Ashley Nikirk, Mohit Gupta (*equal contribution)
Agent Skills Workshop at CAIS 2026 · poster · repo
Optimizing Collectives with Large Payloads on GPU-based Supercomputers
Siddharth Singh, Mahua Singh, Keshav Pradeep, Abhinav Bhatele
SC 2025 · poster · abstract
SC 2025 Best Poster Finalist: 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
NVIDIA/SkillSpector
Security scanner for AI agent skills that detects vulnerabilities, malicious patterns, and security risks before installation.
SkillSpector was briefly trending on GitHub with 15k+ stars ✨
NVIDIA/SkillEvaluator
Multi-tier framework for evaluating AI agent skills with quality gates, semantic overlap detection, synthetic evaluation dataset generation, and live agent evaluation.