Yilin Miao is a software engineer and Brown MS student (4.0 GPA) with eight years of hands-on experience building high-performance backend systems for quantitative trading, autonomous driving, and large-scale search and recommendation. She has interned on HFT platforms and strategy tooling, optimized backend stacks using Spring Boot, Kafka, DuckDB, Ceph, and AWS, and currently contributes to Meituan’s core search and recommendation systems. A Gold Medalist in the China Collegiate Programming Contest with multiple academic honors, she also publishes research on deep learning and hypergraph models (one paper under ICML 2024 review). Yilin blends production-grade system engineering with strong ML research instincts, making her effective at bridging algorithmic innovation and scalable implementation.
8 years of coding experience
Master of Science - MS, Computer Science, 4.0/4.0, Master of Science - MS, Computer Science, 4.0/4.0 at Brown University
Bachelor of Science - BS, Computer Science, 3.93/4.0, Bachelor of Science - BS, Computer Science, 3.93/4.0 at China University of Geosciences
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