Andrés Paz is a Principal Software Engineer with 20+ years of experience building high-performance, full-stack systems at the intersection of cloud, HPC, and frontier hardware. He has led teams at Microsoft and now NVIDIA to design software stacks for quantum and hybrid quantum-classical computing, including contributions to Microsoft’s Q# libraries, Quantum Katas, and compiler/tooling projects. Comfortable from atomic-scale control systems to hyperscale cloud architectures, he turns ambiguous prototypes into production platforms using first-principles thinking and rigorous automation. A veteran of large-scale services (Xbox Live, Bing, Azure Frontdoor) and early web innovations in Mexico, he blends product-minded engineering with deep technical craftsmanship. He’s pursuing a Ph.D. at the University of Washington, extending his technical leadership into research-grade quantum error-corrected systems. Notably, his open-source work helped harden core QDK components and CI pipelines that many quantum developers rely on.
9 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Washington
BS Electronic Systems Engineer, BS Electronic Systems Engineer at Tecnológico de Monterrey
Master Math, Master Math at George Mason University
Contributions:5 releases, 13 reviews, 112 commits in 5 years 2 months
Contributions summary:Andrés's commits primarily focus on populating libraries and samples related to the Microsoft Quantum Development Kit (QDK). The contributions include adding and modifying Q# code files, specifically focusing on quantum error correction (QECC) tests, and updating the QDK version used in the project. These changes demonstrate the user's involvement in implementing and testing core quantum algorithms and functionalities within the Q# environment.
Contributions:11 reviews, 126 commits, 100 PRs in 5 years 4 months
Contributions summary:Andrés primarily contributed to the Q# libraries within the `microsoft/quantumlibraries` repository, focusing on enhancements and updates to existing code. Their commits involved modifying Q# files related to amplitude amplification, arithmetic, data representation, and state preparation. The user's work involved implementing changes to core quantum algorithms and data structures, demonstrating a strong understanding of quantum computing concepts.
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