Summary
Zhengqiang Liao is an ML-focused software engineer with four years of experience building end-to-end systems and mobile apps, blending expertise in machine learning (SFT → RLHF for LLM alignment) with SwiftUI/AppKit development. Passionate about open source, AI, and Rust, he aims to become an independent developer capable of shipping full-pipeline products from research to App Store release. Currently developing practical iOS utilities at Zane Labs while contributing to ML systems work reflected in his GitHub MLSys orientation. Studying algorithms and trading at New York Finance Institute, he brings a quantitative mindset to model alignment and app design. Reachable at lzq666amn@gmail.com, he pairs hands-on engineering with a strong curiosity for multidisciplinary solutions.
3 years of coding experience
Algorithms and stock trading, Algorithms and stock trading at 纽约金融学院
English, japan, Chinese