Ananth Ravi Narayan
Machine Learning Engineer at Waymo
San Francisco, California, United States
Summary
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SeniorAnanth Narayan is a machine learning engineer with nine years of experience and nearly six years focused on deep learning, currently improving AI-driven driving behavior at Waymo. He has a track record of leading end-to-end ML projects at scale—at Yelp he improved ad model calibration by 9%, reduced model size and latency via pruning and 8-bit quantization, and redesigned Spark training pipelines to cut runtime by 70% and costs by 50%. Comfortable across research and production, he brings expertise in multi-GPU and distributed training, model compression, monitoring, and deployment. His background includes graduate work and teaching at Columbia plus research at IISc where he built storage-efficient and faster-decoding systems, reflecting a blend of theoretical rigor and pragmatic engineering. Based in San Francisco, he combines algorithmic depth with a focus on cost-efficient, production-ready ML systems.
10 years of coding experience
Github Skills (19)
vscode7
ssh5
docker-container5
remote-development5
java5
algorithm5
visual-studio-code4
docker4
kotlin4
cpp4
data-structures4
data-structure3
algorithms3
jetbrains-ides1
jetbrains1
Programming languages (2)
Github contributions (5)
ananthrn/leetcode-practice
Jul 2022 - Feb 2023
Contributions:1246 commits, 2140 pushes in 7 months
ananth2394/Duplicrypt
Sep 2016 - Nov 2017
Contributions:2 PRs, 10 pushes, 5 branches in 1 year 2 months
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