Ivy Yu is a software engineer based in Berkeley with nine years of experience building systems across research labs, startups, and large tech—now at Amazon after internships and a research fellowship at UC Berkeley Haas that produced a WWW 2025 paper on symbiosis bias in recommendation A/B testing. She brings a mix of academic rigor and product-focused engineering, having co-founded an AI startup (Miracle Plus, YC China F23) and contributed to platform and kernel work at Pure Storage. Her background spans reinforcement learning for traffic control to systems porting (x86 to ARM64) and classification/policy platforms, reflecting comfort with both ML research and low-level systems. Quiet by description but prolific in impact, she combines curiosity-driven research with pragmatic delivery across interdisciplinary teams.
9 years of coding experience
2 years of employment as a software developer
Computer Science, Computer Science at University of California, Berkeley
Contributions:4 commits, 6 pushes, 1 branch in 1 day
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