Autonomous AI Data Scientist Agent
Published:
- Designed a multi-stage agentic framework that autonomously completes the ML lifecycle using local LLMs.
- Implemented an execution-feedback decision loop where the agent iteratively drafts code, analyzes traceback signals, and refines strategies through self-correction in a sandboxed environment.