LedgerLens
Observable AI Financial Assistant
A React/TypeScript interface, Node.js/TypeScript Claude agent, and Python retrieval service over DuckDB and ChromaDB.
Locally exercised with live model calls; an operating AWS deployment is not verified.
01 / SELECTED WORK
Applied AI across policy, financial investigation, and maritime intelligence. Explore the problem, the engineering, and what the evidence supports.
A React/TypeScript interface, Node.js/TypeScript Claude agent, and Python retrieval service over DuckDB and ChromaDB.
Locally exercised with live model calls; an operating AWS deployment is not verified.
Independent research into policy analysis, evidence provenance, explicit assumptions, validation, and human oversight.
In development: independent research project with private implementation.
A Python/FastAPI and DuckDB/dbt research application combining fraud-model evaluation, Bedrock narrative drafting, and human-review controls.
Locally runnable portfolio/research project; current documentation says it is not publicly deployed.
ADDITIONAL WORK
A geospatial research pipeline with public evidence of detection limitations and iterative model evaluation.
Read the evaluation and case studyALSO BUILT
The site you are using is itself an applied AI project: a public representative with saved conversations, grounded background information, and controls to export or delete your chat.
Source code private. This public website demonstrates the application; the implementation repository is not publicly accessible.