Huafeng Zhang is an independent researcher and software engineer with 11 years of experience specializing in model-driven design, domain-specific languages for safety-critical systems, Golang runtime optimization, and AI compilers. He has led low-level systems work at Huawei—optimizing Go schedulers and garbage collectors and building C++ frameworks for AI accelerators—and later contributed to language and LLVM-based projects. Most recently he focuses on LLM agent programming, developing frameworks that optimize token usage and improve runtime observability for agent-based systems. Holding a PhD from Tsinghua and a top-ranked CS bachelor’s from Xi'an Jiaotong, he combines deep academic rigor with hands-on compiler and runtime engineering. An uncommonly broad practitioner, he moves fluently between formal DSL design and practical performance tuning for production AI runtimes.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science, GPA 3.9, 1/160+, Bachelor's degree, Computer Science, GPA 3.9, 1/160+ at Xi'an Jiaotong University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Tsinghua University
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Huafeng Zhang - Independent Researcher at Self-employed