[ Founder ] Started from a surfing accident, stayed for the systems thinking. Now building search that just works.
JULIS
LIPP
My journey as a Founder started when a surfing accident left me in bed for a few months. I had way too much time to think and realized I really want to build something that matters. When I ended up at Google, I got to see how fun software engineering can be—especially when you're on a team.
LIPP
Reimagination Of
Search & Intelligence
Experience That Shaped the Mission-My Working Journey
Each role sharpened my thinking—from engineering execution to product vision. It’s a trail shaped by experimentation, momentum, and trust in small, driven teams.
Co-Founder @ Mixedbread
OCT 2023 - PRESENT
Software Engineering Intern @ Google
MAY 2022 - SEP 2022
Software Engineer @ Crossnative
NOV 2019 - JAN 2023
Dishwasher @ Various Restaurants
MAY 2014 - NOV 2019
MXBAI-RERANK-V2: BAKED-IN BRILLIANCE
RERANK
Advanced reranking technology that supports over 100 languages with 8K context length for superior search results.
MXBAI-EMBED-XSMALL-V1: EVERY BYTE MATTERS
EMBED
Ultra-compact embedding model designed for maximum performance with minimal resource consumption.
BATCHED: BAKING IN PERFORMANCE
BATCHED
Revolutionary open-source library that simplifies dynamic batching for machine learning inference systems.
ENTROPY-WEIGHTED SIMILARITY & SEMANTIC SEARCH
ENTROPY
Groundbreaking research introducing novel retrieval algorithms for enhanced sparse search capabilities.
BAGUETTER
BAGUETTER
Comprehensive framework designed for testing and evaluating retrieval system performance.
DEEPSET-MXBAI-EMBED-DE-LARGE-V1
DEEPSET
German-optimized embedding model developed through strategic collaboration with Deepset.
MXBAI-COLBERT-LARGE-V1
COLBERT
Advanced ColBERT architecture implementation featuring significant performance enhancements.
MXBAI-EMBED-LARGE-V1
EMBED
State-of-the-art embedding model optimized for text retrieval and semantic search applications.
MXBAI-RERANK-V1 FAMILY
FAMILY
Comprehensive family of state-of-the-art reranking models for enhanced search precision.