Ashok Chandrasekar
Bio
Ashok Chandrasekar is a Staff Software Engineer at Google working on AI Inference performance evaluation and optimization for Google Kubernetes Engine. He is a project lead and maintainer of Inference Perf and co-lead of SIG Benchmarking in the llm-d project. He holds a Master's degree from Carnegie Mellon University. Previously, he was a Staff Engineer at VMware. His interests lie in Distributed Systems with his current focus being Systems for AI/ML applications.
Session (1)
Ashok Chandrasekar is a Staff Software Engineer at Google focused on LLM inference optimization and performance benchmarking on Kubernetes, and is a lead maintainer of the kubernetes-sigs/inference-perf GenAI inference benchmarking project. His work offers practical insight into how production-scale AI inference workloads are measured and optimized on Kubernetes.
GitHub
@achandrasekarRecent writing (1)
Public activity researched automatically · as of Jun 2026