AI & Automation
ASAN MACRO — AI-Powered Trade Intelligence Agent
Tool-augmented LLM agent that converts structured trade data into grounded, decision-ready economic sentiment reports.
Role: Sole builder (data layer, agent, evaluation, and reporting)
Context
Manual Comtrade-to-spreadsheet-to-generic-LLM workflows are slow, inconsistent, and poorly grounded for economists and strategy readers who need repeatable briefs.
Method / approach
Designed an agentic workflow over SQLite trade data with custom analyst tools and lightweight RAG. The system supports multi-backend LLMs, optional Comtrade ingest, structured report formats, evaluation harnesses, and adversarial/safety probes so claims stay tied to stored flows rather than free-form guessing.
Tools and technologies
- Python
- SQLite
- LLM tool-calling / RAG
- UN Comtrade ingest scripts
- Evaluation & adversarial test harnesses
Key deliverables
- CLI trade sentiment report generator
- Nine analyst query tools over trade flows
- HTML / LinkedIn / JSON output formats
- Evaluation and safety probe scripts
Results / findings
- Built an end-to-end agentic product for BRICS and sector-focused trade analysis with documented evaluation scaffolding.