Mohamed Abdelfattah is a researcher and technology entrepreneur with 11 years of experience at the intersection of hardware, machine learning, and reconfigurable computing. As Co‑Founder and Chief Science Officer at Makora and an Assistant Professor at Cornell/Cornell Tech, he translates academic innovations into practical tools for efficient on‑device AI. His background includes leading AutoML and hardware-aware deep learning optimization at Samsung, building ML accelerators and OpenCL-to-Verilog toolchains at Intel, and creating FPGA architectures and CAD tools during his PhD. He has a strong track record of raising abstraction in hardware design—demonstrated by work on embedded NoCs and pre-configuration FPGA testing—that reduces design effort while saving area and power. Based in the New York City area, he combines rigorous academic credentials with hands‑on systems and compiler engineering to push ML closer to the silicon.
Contributions:1 release, 13 commits, 9 pushes in 11 months
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