Blog/Daniel Campos

Daniel Campos

Software Engineer, Snowflake

Daniel Campos is a software engineer at Snowflake, working on Retrieval, Search and RAG. Before joining Snowflake, he worked on retrieval and LLM compression at companies like Neeva, Walmart, Qualtrics, Microsoft and Neural Magic. He holds a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign, a Master’s in Computational Linguistics from the University of Washington, and a Bachelor’s from Rensselaer Polytechnic Institute. In his research, he helped create the MS MARCO family of datasets and has coordinated research tracks at NIST’s TREC Conferences since 2019.

DEC 04, 2024Gen AI

Snowflake’s Arctic Embed 2.0 Goes Multilingual: Empowering Global-Scale Retrieval with Inference Efficiency and High-Quality Retrieval

Puxuan Yu +3

SEP 19, 2024Gen AI

Straight A's: You Can’t Spell RAG Without Augmentation

Daniel Campos +2

AUG 01, 2024At Snowflake

Snowflake Invests in Contextual AI to Make It Easier for Enterprises to Deploy RAG Applications in the AI Data Cloud

Daniel Campos +1

Daniel Campos

Snowflake’s Arctic Embed 2.0 Goes Multilingual: Empowering Global-Scale Retrieval with Inference Efficiency and High-Quality Retrieval

Straight A's: You Can’t Spell RAG Without Augmentation

Snowflake Invests in Contextual AI to Make It Easier for Enterprises to Deploy RAG Applications in the AI Data Cloud

Where Data Does More