Francisco Revelles

Python, FastAPI, LLM orchestration, embeddings, timeline reasoning, entity resolution, deterministic pipelines, provenance hashing, and explainable multi-agent design.

Exploring embedding retrieval, automated causality graphing, timeline fusion, role-based segmentation, and explainability tools for next-gen deterministic agent systems.

Building next-gen LexFabric features: embedding retrieval, causality graphing, cross-docket timeline fusion, deeper entity resolution, segmentation, and explainability.

Interested in discussing embedding workflows, causality engines, entity resolution, explainability, and cross-case timeline systems. Open to collaborations on agentic AI.