Hugo Jimenez

Hugo Jimenez

Ravenpack

Hugo Jiménez Muñoz is a Machine Learning Engineer at RavenPack , where he builds high-performance NLP models for financial analytics. Specializing in RAG optimization and Transformer fine-tuning, he bridges the gap between vector search and structured query requirements. His background includes Knowledge Graph engineering and building scalable AI architectures on AWS.

LinkedIn

Sessions

Data Science
Search

Text-to-Struct: Fine-tuning SLMs for Query Intent

Talk
Hybrid search fails on complex intent: vector search misses constraints, keywords miss nuance. This talk explores fine-tuning SLMs for 'Query Understanding'—transforming vague inputs into structured requests. Learn to extract metadata, expand terms, and route intent to build a search engine that does the hard work for your users.