Yeasir Rayhan
yrayhan [at] purdue [dot] edu

I am a PhD candidate in Computer Science at Purdue University, advised by Professor Walid G. Aref.
My research leverages machine learning and modern hardware to build fast and adaptive database systems across heterogeneous hardware and workloads. My work spans learned query optimization, hardware-aware scheduling on NUMA and chiplet servers, and buffer management for CXL tiered memory. More recently, I have been building database agents by designing harnesses that enable LLMs to autonomously interact with and optimize database systems.

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