Miguel Lloreda is a pragmatic lead engineer with 14 years of experience building reliable, maintainable systems across embedded medical devices, GPU libraries, and cloud-native platforms. He combines deep systems and software expertise—Go, Bash, GNU/Linux and Emacs—with hands-on SRE and infrastructure work (Mesos, Kafka, Terraform, AWS EKS) to deliver automated, production-ready tooling and onboarding. Miguel contributed core CPU-backend sorting implementations to the widely used ArrayFire GPU library, showing an ability to optimize low-level algorithms as well as scale platform services. He has a track record of accelerating development and testing (multi-fold speed improvements) through pragmatic rearchitecture and test harness automation. Now at Booz Allen Hamilton, he applies that blend of systems-level performance tuning and developer-focused automation to lead engineering efforts across complex domains.
Contributions:3 releases, 53 commits, 66 PRs in 5 years 5 months
Contributions summary:Miguel implemented and refactored the sorting functionality for the ArrayFire library, focusing on CPU backend optimizations. They introduced a 1D sort implementation, expanded it to handle sorting across the first dimension and modified the underlying data structures. The user also added tests for the sorting functions and refactored the test file, ensuring the library works with different data types and 2D arrays. Their contributions primarily centered on the core functionality of ArrayFire's CPU backend.
Contributions:18 pushes, 3 branches in 6 years 11 months
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Miguel Lloreda - Lead Engineer at Booz Allen Hamilton