Work
End-to-end ML,from problem to production.
LawLibrary.ai
Architected a multi-stage hybrid recommender system commercializing IUROPA research. Engineered a domain-adapted bilingual BERT model with graph-augmented retrieval to achieve a 45% increase in Recall@10 against baseline embeddings.
Acuis.ai
Legal intelligence platform extracting structured insights from 60k+ EU competition law cases. Implemented a pipeline using UMAP and HDBScan on fine-tuned embeddings to cluster 17k insights into semantic threads with automated labeling.
The IUROPA Project
Project lead for an international research collaboration developing a comprehensive database on the CJEU. Architected a 20+ table relational system, a 500M+ text corpus, and a text-to-SQL RAG app.
WorldCups.ai
Developed an agentic text-to-SQL system that translates natural language queries into complex SQL against historical sports data. Built a commercial-grade API with rate-limiting and observability for public data access.