Arek Borucki
Bio
Arek Borucki is a Machine Learning Platform & Database Engineer at Hugging Face, where he helps keep the infrastructure behind one of the world's largest open-source AI platforms running at scale. He is the author of MongoDB in Action 8.0 and co-author of Mastering MongoDB 7.0. With over 10 years of experience in SRE, Kubernetes, AWS, GCP, and managing MongoDB in production, from 100TB+ sharded clusters to cloud-native deployments, he brings deep expertise in databases, platform engineering, and infrastructure at scale.
Session (1)
Borucki is a Machine Learning Platform & Data Engineer at Hugging Face and a MongoDB Champion who works on the data platform behind Hugging Face's 2M+ models and 500K+ datasets running on MongoDB Atlas. Attend for battle-tested architecture lessons on scaling MongoDB Atlas and Atlas Vector Search under real AI-platform load, plus hands-on patterns for semantic search and embedding-based recommendation.
Recent talks (1)
Recent writing (3)
- Building a Movie Recommendation Engine with Hugging Face and Voyage AI · blog · Feb 2026
- Building a Mood-Based Movie Recommendation Engine with Voyage-4-nano, Hugging Face, and MongoDB Atlas Vector Search · blog · Feb 2026
- Building a Semantic Search Engine with Hugging Face Transformers and MongoDB Atlas Vector Search · blog · Feb 2026
Public activity researched automatically · as of Jun 2026