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Building GPU-accelerated systems at KX
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Building GPU-accelerated systems at KX
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Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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EdHarry/README.md

Ed Harry

GPU & systems engineer. Currently building CUDA-accelerated analytics at KX — one of the world's fastest time-series and vector database platforms.

Previously at Apple (Cambridge), where I worked on GPU- and ISP-powered pipelines for iOS camera software. Before that, Wellcome Sanger Institute, where I built open-source tools for large-scale genome assembly.

What I work with

C C++ CUDA Metal Python Linux

Open-source work

Most of my open-source contributions live under org accounts:

Research

I hold a PhD in Computational Biology (University of Warwick) and have published in Nature, Science, Cell Genomics, and eLife.

📄 Google Scholar profile

Currently

🔧 CUDA developer at KX, working on GPU-accelerated time-series and vector database infrastructure

📬 e.f.harry@gmail.com · LinkedIn

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