---
title: "Ashok Chandrasekar"
category: "people"
role: "Staff Software Engineer"
company: "Google"
linkedin: "https://www.linkedin.com/in/ashokchandrasekar/"
website: "https://ashokc.dev"
blog: "https://ashokc.dev"
sourceLabels: ["Official speaker roster", "Official conference schedule"]
---
# Ashok Chandrasekar

## Profile
Staff Software Engineer at [[google|Google]].

- [LinkedIn](https://www.linkedin.com/in/ashokchandrasekar/)
- [Website](https://ashokc.dev)
- [Blog](https://ashokc.dev)

## Biography
Ashok Chandrasekar is a Staff Software Engineer at [[google|Google]] working on AI Inference performance evaluation and optimization for [[google|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.

## Conference Sessions
- [[2026-07-01-ashok-chandrasekar-are-llm-performance-benchmarks-reliable]] — Are LLM Performance Benchmarks Reliable? (2026-07-01, 11:40am-12:00pm)

## Evidence Graph
This evidence graph summarizes how this person appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

### Linked Sessions
- [[2026-07-01-ashok-chandrasekar-are-llm-performance-benchmarks-reliable|Are LLM Performance Benchmarks Reliable?]]

### Media Signals
No linked video, transcript, or slide source has been attached yet.