✦ Live portfolio → ninglinliu.github.io/ninglinLiu
AI × Web3 Builder · ZK / DePIN · Quant Research & Trading
Verifiable on-chain systems · AI agent applications · Quant tooling
Fast iteration · Clean architecture · Reproducible setups
| 📍 XJTLU (Suzhou, China) · Remote-first | 🎯 ZK verification · On-chain intelligence · DeFi · Quant | 🧱 Repo-first · Clear READMEs · Modular code |
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| 🏅 Event | 🔨 Project | 📝 What It Does |
|---|---|---|
| 🌟 XJTLU Global Entrepreneurship Dream Competition | EdgeNet.AI | Verifiable AI Inference Network — Proof-of-Inference / DePIN |
| 🦞 Beijing Zhongguancun Lobster Hackathon | ShrimpNest | On-chain analytics & intelligence pipeline |
| 🌊 Solana Breakpoint 2025 | Shadow Hunter | Solana on-chain copy trading system — risk circuit breaker, DRY_RUN, Telegram alerts |
| ⚡ Monad Shenzhen Hackathon | zkhahaha | Parallel ZK batch verification on Monad Testnet |
| 🔐 ETH Shanghai 2025 | On-chain Data Copyright SaaS | Dataset licensing & NFT receipts (tokenized provenance) |
| 🌐 EdgeNet.AI — Verifiable AI Inference Network DePIN meets AI — a decentralized edge inference network with on-chain Proof-of-Inference. Nodes compete to serve AI workloads; results are verified on-chain for trustless, permissionless AI compute. Tech Stack: Solidity Next.js Node.js AI/LLM DePIN🌟 XJTLU Global Entrepreneurship Dream Competition |
→ View Repository |
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| 🦞 ShrimpNest — On-chain Analytics Pipeline Solana on-chain intelligence — tracking, signal aggregation and analytics pipeline for DeFi traders. Tech Stack: Solana TypeScript Web3.js🦞 Beijing Zhongguancun Lobster Hackathon |
→ View Repository |
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| 🌊 -solana-shadow-hunter — Solana On-chain Copy Trading System Production-grade copy trading pipeline — Pydantic models, trace_id, dedup/idempotency, Hard TTL, DRY_RUN mode, rate limiting, error grading, private key isolation, risk circuit breaker, and replayable logs. Telegram alerts with /panic & /status commands.Tech Stack: Python Solana Jupiter DEX Pydantic v2 aiolimiter SQLite Telegram Bot🌊 Solana Breakpoint 2025 |
→ View Repository |
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| ⚡ zkhahaha — Parallel ZK Playground (Monad Testnet) Batch ZK verification demo — storage layout for parallel execution, zero write hot-spots. Batch verify 10 / 50 / 100 proofs per tx; tracks batch size, gas used, gas/proof, latency, and success rate. Tech Stack: Solidity 0.8.24 Hardhat Next.js 14 ethers v6 Tailwind PNPM monorepo⚡ Monad Shenzhen Hackathon |
→ View Repository |
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| 🔐 On-chain Data Copyright SaaS — Tokenized Dataset Provenance Dataset licensing on-chain — creators register datasets and mint NFT receipts as proof of ownership. Buyers get verifiable, tamper-proof licenses; the full provenance chain lives on Ethereum. Tech Stack: Solidity Hardhat ERC-721 Next.js IPFS ethers.js🔐 ETH Shanghai 2025 |
→ View Repository |
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Engineering + research, not vibes.
| Area | Focus |
|---|---|
| Research / Modeling | Regime awareness (trend vs mean-reversion), indicator diagnostics, signal design with leakage awareness |
| Backtesting | Crypto pipelines (Binance), MAE/MFE, win-rate vs tail-risk, stop-loss sensitivity |
| Execution | Bot-driven workflow on Linux/VPS, Docker, reproducible runs |
| Risk / Process | Position sizing, failure-mode thinking, robustness over "perfect params" |
→ QuantLab Trading (TA + Backtesting)
| 🔗 Blockchain / Web3 | 🤖 AI / Agents | 🌐 Full-Stack | 📊 Quant |
|---|---|---|---|
Languages: TypeScript · JavaScript · Python · Solidity · Rust · C/C++
| Project | Description |
|---|---|
| RiskLights | Crypto × Macro × On-chain Risk Indicator Engine |
| Alpha Radar | AI-driven crypto intelligence & signal aggregation |
| LLM Werewolf Arena | Multi-agent simulation — DeepSeek, personas, private memory isolation |
| Info Aggregator | Multi-source information pipeline |
| Hello Storage DApp · Monad Counter DApp | On-chain storage demos |
| Pac-Man: group86 · cyberpunk-pacman | Game projects |
- Web3 engineering — protocol / infra / tooling
- AI agent applications — orchestration, state, productization
- Quant dev / data pipelines — research → backtest → execution
Teams that value clean code, measurable iteration, and systems thinking.

