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Description

For the past year and a half, my passion project has been developing a comprehensive Python framework designed for building modular, asynchronous, and event-driven LLM applications. It features a component-based architecture encompassing state and context management, AI-composable workflows, and code parsing and analysis. The goal is to create an intelligent system with a persistent context/memory layer built dynamically via search while providing a natural-language interface for workflow composition. I'm eager to explore AI engineering opportunities that align with this trajectory.