Abdul Dakkak is a Distinguished Engineer and Senior Director with 17 years of experience building high-performance compilers, runtimes, and GPU kernels for production AI infrastructure. He led Modular’s GenAI organization, scaling teams of 30+ and driving advances in Mojo GPU libraries and end-to-end optimization that bridge research-level compiler techniques to production systems. His background spans academia and industry—from a PhD at UIUC where he demonstrated compiler-generated code matching hand-written C and published in CGO, to leadership roles at Wolfram and Microsoft where he implemented language runtimes and CUDA/OpenCL integrations. Known for translating deep type-system and compiler research into practical runtimes, he has repeatedly delivered systems that make heterogeneous compute “just work” for developers. Based in the Greater Seattle area, he combines hands-on kernel and compiler engineering with strategic team-building to accelerate GenAI productization.
17 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Illinois Urbana-Champaign
Bachelor's degree Mathematics, Bachelor's degree Mathematics at The University of Toledo
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Abdul Dakkak - Distinguished Engineer Senior Director at Modular