Hello!

Most of what I enjoy is working around models, especially on systems that can gather knowledge and produce more accurate answers. That has pulled me into RAG, agentic search, fine-tuning, and agent harnesses, not as a checklist, but as different ways to give models new capabilities and make them useful in specific domains.

Before this, I spent a couple of years across [Public Goods], [DeFi], and fintech, working with Neverland, Giveth, Myosin, and others.

I’m also drawn to where software meets art and human behavior.
Most things we take for granted started with someone being curious enough to look closer.

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  MemriseQwen embeddings + inference

  Agent memory using Qwen embedding and inference modelsAI · Agent memory · LLM
  In build
• 
  ZunoETHGlobal · 1st Uniswap track

  Terminal native Uniswap LP copilotDeFi · Multi agent · CLI
  In build

• Vector indexes and metadata filters2026-08-12·9 min
• Evaluating RAG in production2026-07-19·12 min
• Open-weight models2026-07-11·8 min
• NLP basics: NLU, NLG, and core language tasks2026-06-23·7 min

Email is the most direct way. The rest below also work.

• GitHub
• LinkedIn
• X