Summary
Prasanna Padmanabhan is a seasoned engineering leader with 13 years building large-scale ML and developer infrastructure at cloud-native companies like Netflix and Zoox, now directing Software Infrastructure in San Jose. He specializes in ML data, compute, training and serving platforms, feature stores, and developer experience—driving teams that make distributed training, low-latency inference, and media ML production-ready. His work spans both backend systems and platform ergonomics, from GPU cluster ops and Spark compute to event-driven feature infra and model lifecycle tooling. Known for reducing ML training and inference times and enabling creative teams with media-focused ML tooling, he combines deep systems engineering with product-minded platform leadership. His early research on data replication for MANET databases and contributions to MySQL hint at a long-standing focus on scalable, resilient data systems.
13 years of coding experience
21 years of employment as a software developer
M.S Computer Science, M.S Computer Science at University of Oklahoma, Norman