Design and operate the personalization platform that powers experiences like AI DJ, Daylist, Blend, Niche Mixes, and About the Song.

Lead backend and data architecture for systems that enable teams across Spotify to prototype, launch, and scale personalized listening features.

Build and integrate AI and agentic systems, including Java-native LLM agents capable of multi-step reasoning and real-time adaptation.

Drive collaboration across engineering, research, and product to bring emerging AI capabilities into Spotify’s personalization stack.

Mentor engineers and lead internal System Design courses, advancing architectural best practices across Spotify.

Built and maintained backend services and data pipelines powering flagship personalization experiences including Discover Weekly, Release Radar, and Spotify Wrapped.

Integrated and tuned machine learning models within large-scale distributed systems to improve discovery and ranking quality.

Collaborated with ML, product, and data teams to translate personalization research into scalable, production-ready systems.

Led backend development for the company’s music distribution platform, supporting global delivery and monetization for artists and creators.

Designed and implemented systems for content ingestion, licensing, and royalty processing.

Collaborated with cross-functional teams to streamline artist onboarding and optimize digital distribution workflows.