AI Agentic Problem Solver
- Engineered a hierarchical multi-agent system (Architect, Planner, Executor agents) for complex problem-solving through systematic decomposition and specialized task handling.
- Leveraged LLMs within each specialized agent for high-level design, detailed planning, and code implementation.
- Built on a protocol-based, modular architecture with distinct components for configuration, agent management, LLM provider integration, and messaging.
- Incorporated robust error handling, retry mechanisms, timeout management, and fallback delegation paths for reliable, autonomous task execution.
- Implemented agent-driven delegation where agents assess task complexity to dynamically route work across the hierarchy.



