Eduardo J. Barrios

Evidence-backed scientific explanations for ML notebooks, without LLMs.

Detect and remove redundant context before sending it to an LLM.

Catch LLM and VLM regressions with lightweight, parameterized benchmarks for any Python callable.

Redact sensitive data from LLM prompts before sending them to a model.

Find common quality and safety issues in RAG chunks before indexing.

Open-source Jupyter AI training explainer.