Raghav Saboo

Raghav Saboo

Staff Machine Learning Engineer, Tech Lead Search & Personalization · DoorDash, Inc.

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Bio

Raghav Saboo is a Staff Machine Learning Engineer and Tech Lead for Search & Personalization within DoorDash's New Verticals business line. He is currently focused on scaling agentic and generative AI integrations within search and recommendation systems. Previously, he was at Amazon, where he developed the first generation of large language models and distilled models for Alexa AI's new language launches. Prior to Amazon, Raghav worked as a Machine Learning consultant, building zero-to-one solutions for clients across multiple industries. He has publications in WSDM, SIGIR, and RecSys, and holds a Master's from Duke University alongside a combined BEng and MEng from Imperial College London.

Session (1)

Day 211:40am-12:00pmTrack 7 · Room 2024
LLM Recsys at DoorDash

Additional Speaker Details

Using publicly available information we constructed an analysis to help you get a feel for this speaker before deciding to attend their session.

Raghav Saboo is a Staff ML Engineer and tech lead for Search & Personalization at DoorDash, and writes detailed, production-grounded pieces on fusing LLMs with classical recommenders (embedding fusion, cold-start transfer, LLM serving-stack tradeoffs), plus a co-authored paper on bridging behavioral silos across DoorDash's verticals with LLMs. A good pick for attendees wanting concrete, engineering-level detail on production recsys+LLM systems rather than a high-level vision talk.

Speaking style

Deeply technicalBattle-testedClear teacher

GitHub

@raghavsaboo

Recent writing (5)