- ๐ญ Focus on Quantitative Trading Systems / High-Concurrency Backend
- โ๏ธ Strong in Hexagonal Architecture + DDD + System Design
- ๐ Building Py-Quantix (Quant Trading System) / Local-Memory (Memory For AI Agents)
- ๐ง Exploring AI + Finance / LLM Systems
- ๐ง Contact: Rancho1110
Production-grade quantitative trading system (Backtesting + Live Trading + AI Analysis)
- โก Strategy Engine (Backtesting / Live / Analyzer)
- ๐ Market Data Pipeline
- ๐ Binance API Integration
- ๐งฑ Modular Architecture
๐ https://github.com/RanchoCooper/py-quantix
Give AI agents long-term memory, fully local & controllable
- ๐ง Persistent memory across sessions๏ผ่งฃๅณ LLM โๅคฑๅฟโ้ฎ้ข๏ผ
- ๐ Semantic search (Vector + Keyword hybrid retrieval)
- ๐งฑ MCP-based architecture (Claude / Cursor / Copilot compatible)
- ๐ Local-first storage (SQLite + Vector DB)
๐ https://github.com/RanchoCooper/local-memory
Go microservice framework based on Hexagonal Architecture
- ๐งฑ Clean Architecture / Domain Isolation
- โ๏ธ Plugable Infrastructure Layer
- ๐ Production-ready service scaffolding
๐ https://github.com/RanchoCooper/go-hexagonal
- ๐ Designed high-concurrency distributed systems
- โก Built low-latency trading infrastructure
- ๐ Implemented CI/CD pipelines (GitHub Actions)
- ๐ง Strong in system design & architecture evolution
- ๐ Quant Trading System (Py-Quantix)
- ๐ง AI Memory Systems (LocalMemory)
- ๐ค LLM + Trading Integration
- โ๏ธ Backend Architecture Optimization
โญ๏ธ "Build systems, not just features."