Abdul Dakkak is a Senior Principal Compiler Engineer at Modular where he leads the Library and Kernel team. Before that, he was a Principal Research Software Engineer at Microsoft Research AI (MSRAI) working on next-generation compilers for end-to-end machine learning. Before then, Abdul Dakkak received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (UIUC). He was a senior compiler developer at Wolfram Research, leading the design and development of the Wolfram Compiler effort for over 6 years. Abdul’s research interest lies at the intersection of machine learning, compilers, programming languages, and accelerated computing. His focus is compiling high-level languages into performant code running on different hardware. In the process, he has developed industry-grade tools for compiling, running, profiling, and introspecting real-world applications to optimize their performance across both the hardware and software stack. As a primary developer of the Wolfram Compiler, Abdul has developed the Wolfram type system and architected the Wolfram runtime. As a result, the compiled Wolfram code matches the speed to hand-optimized C code and can target accelerator and multi-node systems.