j fsf

Zhengxun Wu is a hyper-efficient full-stack programmer, system designer and engineer who previously interned at Tiktok, and worked as early employee at startup like Ava Labs and Sei Network and top-tier HFT firms like Jump Trading and Hudson River Trading. He also founded a startup focusing on zero-knowledge machine learning, researched and developed innovative zero-knowledge algorithms, built and deployed the whole system from scratch. Besides engineering, his papers were presented at top academic conference like WWW23 and AFT23 and invited to talk at venue like S&P23. He's good at clearly communicating his ideas, sharply identifying contribution opportunities and building the system in the most scalable, maintainable and cleanest way. He has years of experiences contributing to large-scale distributed system, and work on large, complicated codebases efficiently. He's hard-working and owner of his work, consistently learning new technology and business, and can add significant and unique value to the event.