LLM Recsys at DoorDash
Raghav Saboo
- When
- Tuesday, June 3011:40 AM – 12:00 PM · 20 min
- Where
- Track 7San Francisco, CA · imported from ai.engineer's public schedule feed
Speaker
Staff Machine Learning Engineer, Tech Lead Search & Personalization, DoorDash, Inc.
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.
More in LLM Recsys
- Tokens In, Engagement Out: Training LLM-RecommendersTuesday, June 30 · 10:45 AM – 11:05 AM · Track 7
- Spotify LLM RecsysTuesday, June 30 · 11:10 AM – 11:30 AM · Track 7
- Open Q&A: LLM RecsysTuesday, June 30 · 12:05 PM – 12:25 PM · Track 7
- From approval loops to autonomous agents with Docker pt1Tuesday, June 30 · 1:30 PM – 1:50 PM · Track 7
- From approval loops to autonomous agents with Docker pt2Tuesday, June 30 · 1:55 PM – 2:15 PM · Track 7
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.