
Learn how we built a real-time rules engine to fight fraud at scale, enabling fast, safe decisions in latency-sensitive systems.
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DoorDash Engineering Blog
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@DoorDashEng
DoorDash’s diverse and inclusive engineering organization builds innovative and reliable technology solutions that empower local economies.



Excited to share that "Learning to summarize user information for personalized reinforcement learning from human feedback" is accepted to ICLR. TL;DR We can train a conversation summarizer with RL to capture diverse user preferences for pluralistic LLM alignment. w/ @natashajaques @mickel_liu @yanming_wan @PeterAhnnDD arxiv: arxiv.org/abs/2507.13579 website: sites.google.com/stanford.edu/p… code: github.com/nam630/plurali…

















