Podcast & Talk Audio Recommendation Lead & Staff Research Scientist
Alexandria, Virginia, United States
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Summary
👤
Senior
🎓
Top School
Praveen Chandar is a staff research scientist and tech lead with a decade of experience building search, recommendation, and large-scale experimentation systems, currently leading podcast and talk audio recommendation at Spotify. He specializes in translating state-of-the-art research into production—designing ML infrastructure (e.g., contributions to Spotify’s Kubeflow adoption), deploying neural recommenders for podcast discovery, and operationalizing causal LTV and off-policy evaluation methods. His work spans interdisciplinary teams and has driven company-wide improvements in experimentation, debiasing training data, and metric development, with outputs published at top conferences and adopted in production. A prolific researcher with 40+ publications and conference service, he also brings hands-on ML productization experience from IBM, X.ai, and Columbia, and a knack for rapid prototyping that jumpstarts ambitious product ideas.
10 years of coding experience
10 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at University of Delaware
Bachelor of Engineering (BE), Computer Science, Bachelor of Engineering (BE), Computer Science at Anna University Chennai
Zenith ML provides a feature processors, data loaders, ML models for recommendations and search applications, and evaluation tools for rapid experimentation at scale.
Contributions:25 commits, 10 PRs, 19 pushes in 4 months
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Praveen Chandar - Podcast & Talk Audio Recommendation Lead & Staff Research Scientist