I build practical tools around AI agents, RAG, automation, and full-stack developer workflows.
Currently studying at XMUM and exploring how LLM systems can move from demos into reliable products.
- Focus: Agentic AI, RAG systems, workflow automation, full-stack apps
- Stack: Python, TypeScript, React, Next.js, FastAPI
- Interest: AI evaluation, research agents, data-driven tools
- Goal: Build useful AI products that are understandable, reliable, and easy to use
| Project | What it does | Stack |
|---|---|---|
| wq-agent-public | WorldQuant alpha generation and backtesting agent harness | Python, Agents |
| trace-agent | Agent trajectory evaluator for Codex and Claude-style sessions | Python, Evaluation |