Summary
Vijay Rudraraju is a Machine Learning Engineer with 10 years of hands-on experience building full-stack music technology products, spanning desktop, mobile, and web platforms. Based in the San Francisco Bay Area, he has led engineering efforts that drove engagement and monetization at companies like Aimi, Splice, and Pandora, including shipping C++ audio plugins, Electron desktop apps, and GraphQL-backed systems. He combines DSP and low-level C++ audio work with modern ML, data pipelines, and generative music tooling—having organized unified pipelines for embedding generation, supervised learning, and clustering. Notable strengths include accelerating content ingestion and product velocity through pragmatic API and pipeline design, and turning audio research into production features that increase retention and revenue. He holds degrees in Engineering Physics and Music Technology, reflecting a rare blend of technical rigor and musical domain expertise.
10 years of coding experience
16 years of employment as a software developer
B.S. Engineering Physics, B.S. Engineering Physics at University of California, Berkeley
HS General Education, HS General Education at Bellarmine College Preparatory
M.A. Music Technology, M.A. Music Technology at Schulich School of Music of McGill University
Telugu, French