Long-Horizon AI Task Agents & Reusable Agent Skills (SOPs)
Published:
📌 Project Overview
- Role: AI Agent Developer at Sihe Information Technology Co., Ltd.
- Focus: Autonomous LLM Agents, Multi-turn State Management, Agent Skills, Model Distillation.
⚙️ Key Technical Contributions
- Long-Horizon Task Decomposition:
- Engineered autonomous agent architectures capable of sustaining multi-step reasoning, dynamic replanning, and self-reflection across extended workflows.
- Standardized reusable Agent Skills (Standard Operating Procedures) and tool interfaces.
- LLM Mechanics & Model Distillation:
- Investigated tokenizer behaviors (BPE, byte fallback) and domain-specific token representations.
- Conducted Teacher–Student knowledge distillation experiments for lightweight, latency-critical inference.
- Vibe Coding & Agent-Assisted Development:
- Leveraged state-of-the-art coding agents (Codex, Hermes, pi) to achieve rapid prototyping, code refactoring, and test automation.