PHD Student at University of Illinois Urbana-Champaign
United States
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Summary
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Senior
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Top School
Henry Zhu is a PhD student and systems engineer with a decade of experience building high-performance distributed systems, including vector databases and key-value stores. His research and engineering work—published at FAST—focuses on storage and distributed filesystems for ML training and inference, and he has hands-on experience creating 1TB+ datasets on Hugging Face that have seen 100K+ downloads. He has scaled and debugged robot simulation test infrastructure at Amazon Robotics and contributed to open-source cloud tooling at SkyPilot, blending academic rigor with production-grade engineering. Henry also fine-tunes extremely large models (400B+ parameters), and his background includes low-level systems work such as lock-free multithreaded schedulers and JNI integration for graphics engines. Based in the United States, he pairs strong research credentials with practical product and infrastructure delivery, often surfacing subtle performance bottlenecks across stack layers.
10 years of coding experience
2 years of employment as a software developer
High School, 4.02/4.20, High School, 4.02/4.20 at Central High School
Master's degree, Computer Science, Master's degree, Computer Science at University of Pennsylvania
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Henry Zhu - PHD Student at University of Illinois Urbana-Champaign