Prashanth Thinakaran
AI Infrastructure Engineer at Clockwork Systems, Inc.
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolPrashanth Thinakaran is an AI infrastructure engineer based in Palo Alto with 11 years of experience building and scaling GPU-first clusters for large models and latency-sensitive workloads. He brings deep HPC and cloud systems expertise from a PhD in computer science and hands-on roles at Cerebras, KLA, and GPU-focused startups, where he designed automation, networking (RoCEv2), and scheduler integrations for SLURM and Kubernetes. At Cerebras he helped scale wafer-scale systems from petaflops to exaflops for 70B–175B parameter models, and at a stealth GPU cloud he led customer-facing solutions engineering for HGX-H100 fleets. Prashanth is adept at triaging production reliability across hardware, networking, and storage boundaries, and he translates customer pain points into product roadmap decisions. He combines research-grade thinking about heterogeneity-aware scheduling (from his dissertation) with pragmatic tooling—Ansible, Python, and internal ops automation—to deliver repeatable deployments. Colleagues rely on him as cross-functional glue who turns academic insights into production-grade AI infrastructure.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer science and engineering, Doctor of Philosophy (Ph.D.) Computer science and engineering at Penn State UniversityBachelor of Technology Information Technology, Bachelor of Technology Information Technology at Anna University Chennai
English, Tamil
Github Skills (12)
batch7
scale6
vault6
integrations5
workload5
hashicorp4
golang4
microservices3
container3
kubernetes3
consul2
nomad2
Programming languages (2)
Github contributions (5)
prashanth5192/phoenix
Oct 2016 - Mar 2019
Contributions:18 commits, 5 pushes in 2 years 5 months
prashanth5192/WD-40
Sep 2018 - Feb 2020
Contributions:8 pushes, 1 branch in 1 year 5 months
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