Projects

AI Agent Execution Engine

active

ReAct-based autonomous research, decision, and tool execution engine built for Factagora's fact-checking platform.

Product Engineer @ Factagora Apr 2026 – Present
Agent SystemsReActPythonFastAPIPostgreSQL

Highlights

  • · Built a ReAct-based AI agent execution engine fully automating research → decision → execution
  • · Introduced LLM adapter layer enabling Claude ↔ Azure OpenAI switching
  • · Designed agent memory and skills system for cross-session long-term memory
  • · Built stable execution environment with async worker (Azure Queue) + Graceful Shutdown

An autonomous AI execution engine that handles the full research-to-decision pipeline without human intervention. Built on the ReAct (Reasoning + Acting) pattern.

Architecture

The engine separates session management from the action loop, enabling multiple session types (Prediction, Claim) to share a single execution core.