Barry Peng

I am a blockchain full-stack developer with hands-on experience building high-performance on-chain monitoring and automated trading systems. I independently developed end-to-end data pipelines, strategy engines, and risk-control modules across multiple chains and DEXes.

My projects include a multi-modal token analysis and automated trading strategy framework that lifted backtest win-rate from 30% to 50%, a production-grade high-frequency Base-chain arbitrage system with 150–220ms end-to-end latency, and Rust-based atomic arbitrage engines. I have contributed to Java microservice trading systems and optimized databases and data models for improved stability and concurrency.

I value robust engineering, measurable results, and iterative optimization; I seek roles where I can apply low-latency systems design, multi-source data integration, and algorithmic strategy development to generate reliable trading performance.