Summary
Jiaduo He is a software engineer with 10 years’ experience building large-scale real-time and batch data processing systems, distributed OLAP databases, query engines, and ML infrastructure. He has driven production work at Meta on GenAI and previously contributed to F1 Query and Knowledge Graph efforts at Google, after earlier systems work at Uber during its pre-IPO phase. Comfortable at the intersection of data infrastructure and ML, he focuses on high-throughput, low-latency analytics and scalable query processing. Trained at Carnegie Mellon (MSIT) and UW–Madison (BS in Computer Engineering), he blends rigorous academic foundations with production-grade engineering. Based in Beijing and active on GitHub as zer0sun, he pairs deep backend expertise with a curiosity for emerging GenAI architectures. A pragmatic problem-solver, he often surfaces performance and storage trade-offs that unlock order-of-magnitude gains in real-world systems.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at University of Wisconsin-Madison
Master's degree Information Technology, Master's degree Information Technology at Carnegie Mellon University