At DIR'AJ, I designed and shipped Eidelia, the legal case management platform’s AI assistant, on-premise on a CPU-only server. Its hybrid search combines Qdrant and Elasticsearch, with agents for document analysis, statistics, and assistance.
I raised the golden-set score from 77% to 93%, and the deterministic pre-router selected the right agent 85% of the time, compared with 52% using the LLM alone. I also added prompt-injection guardrails and role-based access control.
I created and maintain RAGnarok-AI, an open-source framework for evaluating RAG pipelines and AI agents. It includes retrieval metrics, LLM-as-a-judge, CI/CD quality gates, and production monitoring, and is published on PyPI.
At Sup de Pub (OMNES Education), I designed and taught a 14-hour data science and machine learning course for Master's students. At Wild Code School, I supported data bootcamp cohorts and built the Iliad data platform using Prefect, dbt, MongoDB, and DuckDB.

