Ashwin Murthy is a Senior Staff Software Engineer with 11 years of experience building high-performance distributed systems and AI infrastructure, currently leading low-latency, high-throughput networking IaaS for large-scale ML and HPC on Google Cloud. Previously a technical lead at Google Brain, he helped advance TensorFlow compiler and runtime work using MLIR, and earlier built foundational distributed storage and consensus systems at Uber. His decade-plus career spans core cloud networking, SDN/NFV, and large-scale storage—from founding Azure’s software load balancer to designing cloud-native parallel file systems for self-driving data. Known for turning research-grade ideas into production-grade infrastructure, he blends deep systems-level expertise with applied ML infrastructure experience. Trained with an MS in Computer Science from UC Santa Barbara (4.0), he brings both rigorous academic grounding and a track record of shipping critical infra at hyperscale.
11 years of coding experience
13 years of employment as a software developer
Bengaluru University
Sri Aurobindo Memorial school
MS, 2004, Computer Science, 4.0, MS, 2004, Computer Science, 4.0 at University of California, Santa Barbara
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Ashwin Murthy - Senior Staff Software Engineer at Google