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Hi! I'm Robert, an EE student at Purdue University passionate about optimized compute systems for AI. I'm interested in the intersection of compilers, ML systems, and hardware that turn models into fast usable systems at scale. Currently exploring accelerator operator libraries, compiler-hardware codesign, and agent-based systems. Building side projects with passion. Love all things sports, nature, and jazz related.
Optimized Triton GEMM + fused transformer kernels for small-batch inference.
Integrated RTL design verification tool for testbench generation, script and trace analysis with multi-agent collaboration for accelerated RTL development.
Interactive AI museum exploration tool with image recognition and RAG workflows to identify art, retrieve museum data, and answer user prompts for enriched museum experience. Expanding with agentic features and AR.
Research and industry roles spanning hardware, systems, and applied AI.
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finding excitement in the everyday
choosing commitment over comfort
Reach me at robertzhang930@gmail.com for business inquiries or just to say hi. Connect with me on the platforms below.