Ashwin Murthy
Senior Staff Software Engineer at Google
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAshwin 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 UniversitySri Aurobindo Memorial schoolMS, 2004, Computer Science, 4.0, MS, 2004, Computer Science, 4.0 at University of California, Santa Barbara
Github Skills (22)
python10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
compression8
pruning8
keras8
model-compression8
microsoft-azure7
optimization7
quantization6
mlmodel6
Programming languages (4)
Github contributions (5)
Azure/rtable
Dec 2014 - May 2015
Replicated Table Library for Microsoft Azure Storage
Contributions:50 commits, 19 pushes, 1 comment in 4 months
microsoft-azure
TomHeaven/tensorflow
Apr 2019 - Jun 2020
An Open Source Machine Learning Framework for Everyone
Contributions:63 commits in 1 year 2 months
machine-learning
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