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ryonzhang/README.md

Ruiyang — Engineer + Product Owner


🚀 Currently shipping

🧠 Memdora

Turns anything you read into flashcards, then resurfaces them with FSRS-6 spaced repetition so it actually sticks.
Web iOS Android

🎯 Brier

A flight simulator for trading judgment — commit to a historical setup blind; the server scores your calibration, discipline & expectancy.
Web

🧭 What I work on

Twelve years at the seams between fieldsautomotive · finance · web3 · AI · gaming. By theme, not by logo:

  • Decentralised AI — federated-learning training · on-chain model incentives
  • Token economies — learn-to-earn rewards · issuance & transfer rails · autonomous payout bots
  • On-chain finance — index tokens · smart-contract vaults · DeFi instruments
  • AI products — companions for focus & memory · spaced-repetition engines
  • Trading systems — calibration scoring · blind historical simulation
  • High-scale backends — Go services behind streaming & subscription platforms

🔭 What I'm into

Personal-AI memory without surveillance · the smallest model that still gets you · instruments that bridge real-world credit and DeFi · on-device inference · software built to be excellent for exactly one person.

🧰 Stack

Where the 12 years wentclick to expand
  • Backend & architecture — REST APIs 10y · WebSockets 10y · Scalability 10y · Java 8y · TDD 8y
  • Frontend & mobile — JavaScript 10y · HTML 8y · React · React Native · Vue · Next.js
  • Web3 — Solidity · Solana / Move · Ethers.js (18 skills deep)
  • AI / ML — AI integration 9y · on-device LLMs · FSRS · OpenAI Gym
  • Cloud / DevOps — AWS (Solutions Architect) · Kubernetes (CKA) · CI/CD · IaC
  • Finance — CFA + ASA: quant methods, derivatives, fixed income, actuarial risk

🌙 Off the clock

  • 🏃 Running ~30 km / week — the only loop without a merge conflict.
  • 🧠 Tinkering with on-device LLMs to see how small a model can get and still feel like it understands you.
  • 📖 Designing Data-Intensive Applications on the desk · 🎧 Lex Fridman in the headphones.
  • ✍️ Writing the Maker's Log — build logs, essays, field notes.
  • 🗣 EN / 中文 · 🤔 favourite argument: should a personal AI ever volunteer a thought?

ruiyang.co  ·  @ryonzhang36  ·  get in touch →

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