Exploring Reinforcement Learning & AI Agents. Learning by building.
Reinforcement Learning · Agentic Systems · Multi-Agent Collaboration · RAG · Clinical Trials
- Currently learning: Reinforcement Learning, LLM-Powered Agents & Multi-Agent Collaboration
- Building: LLMs, Agents & RAG systems from scratch, documenting the process and lessons learned
- Interests: AI Infrastructure, Systems Performance & Technology for Clinical Trials
- Primary stack: Python / SAS / Rust
- Also working with: C# / React
- Contact me: Zero2One4@163.com
Primary
Additional
| Project | Description | Stars | Last Commit |
|---|---|---|---|
| Essential-GraphRAG | Chinese translation and study notes for Essential GraphRAG |  |
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| AI-Systems-Performance-Engineering-CH | Study notes on AI infrastructure and systems performance engineering |  |
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| DIY-LLM | Building language models from scratch following CS336 |  |
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| DIY-Agent | Building agents from scratch and documenting the learning journey |  |
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| DIY-RAG | Building RAG systems: chunking, embeddings, retrieval & Agentic RAG |  |
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| Agent-From-0-to-1 | Agent fundamentals, Hermes Agent internals & Claude Code source exploration |  |
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| Project | Description | Stars | Last Commit |
|---|---|---|---|
| HousePlus | Home services management system built with Spring, Spring MVC & MyBatis |  |
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| CSVMS | Computerized System Validation management platform for pharmaceutical companies and CROs |  |
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| Rust-01-RCLI | Hands-on tool development with Rust |  |
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