Summary
Ananth 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.
9 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master's degree, Computer Science, Master's degree, Computer Science at Columbia University
English, Hindi, Tamil