Surya Kanoria is a Staff Machine Learning Engineer based in the San Francisco Bay Area with nine years of experience building scalable, production ML systems. He leads cross-team efforts at Spotify to design next-generation Generative Recommendation systems and previously architected the core recommendation engine for the AI DJ used by hundreds of millions of users. His work spans recommender systems, reinforcement learning for personalization, and end-to-end ML pipelines—skills honed through roles at Flipkart where he shipped large-scale personalization, real-time features, and performance-focused mobile frameworks. Surya combines deep engineering rigor with product-facing impact, having moved research ideas into flagship consumer experiences. He has a strong academic foundation from an MS in Computer Science (University of Colorado Boulder) and a B.E. from BITS Pilani, and an early background in quantitative modeling and trading systems that informs his data-driven approach.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.E.), Chemical Engineering, Bachelor of Engineering (B.E.), Chemical Engineering at BITS Pilani
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Colorado Boulder
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Surya Kanoria - Staff Machine Learning Engineer at Spotify