Ashok Chandrasekar
Staff Software Engineer at Google
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolAshok Chandrasekar is a Staff Software Engineer with a decade of experience designing and operating distributed systems and cloud-native infrastructure, currently leading technical work at Google in Bellevue. He has driven performance optimization and benchmarking for AI inference on Kubernetes—authoring and shipping tooling used for GKE model serving—and played a central role in launching GPU-accelerated model deployments. Prior to Google he led cluster lifecycle and node management efforts at VMware’s Tanzu and Cloud PKS teams, building scalable schedulers, lifecycle automation, and secure cluster management. He brings deep systems expertise from both production product work and academic training (MS in Very Large Information Systems from Carnegie Mellon), and is known for translating complex distributed algorithms into reliable, operational platforms.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at Madras Institute of Technology, Anna UniversityMaster of Science (MS) Very Large Information Systems in School of Computer Science, Master of Science (MS) Very Large Information Systems in School of Computer Science at Carnegie Mellon University
English, Tamil
Github Skills (43)
text-generation10
photon10
pytorch10
controller10
llama10
inference10
tpu10
bloom10
amd10
llm10
huggingface-transformers10
falcon10
google10
google-cloud10
cuda10
Programming languages (7)
Github contributions (5)
achandrasekar/ai-on-gke
Feb 2024 - Nov 2024
Contributions:41 pushes, 9 branches in 9 months
AI-Hypercomputer/inference-benchmark
Jan 2025 - Apr 2025
Contributions:19 reviews, 15 PRs, 12 pushes in 2 months
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