Omar Habra is an ML integration solutions engineer with 8 years of experience building production-grade tooling at the intersection of compilers, cloud ML, and consumer AR/VR. He tripled performance on RISC-V cores at SiFive by overhauling LLVM/Clang internals and automated large-scale toolchain CI and hardware lab provisioning, showing a rare blend of low-level compiler expertise and infrastructure automation. At Apple he improved Swift/Clang interoperability and led real-time compiler triage systems, and he now pioneers an AR/VR interior-design platform that combines on-device Swift/ARKit clients with multi-cloud ML deployments and automated design-to-delivery pipelines. Comfortable across C/C++, Python, Swift, and cloud stacks, he frequently translates research-grade compiler and ML techniques into user-facing, highly scalable products. Notably, he built libFreedomPy to let data scientists script hardware workflows from Jupyter, revealing a focus on developer ergonomics as well as performance.
7 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng, Computer Engineering, Master of Engineering - MEng, Computer Engineering at San José State University
Associate's degree, Computer Engineering, Associate's degree, Computer Engineering at Skyline College
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