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Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: YOLOAchievement: Arctic Code Vault Contributor

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LukeStorry/readme.md

Luke Storry

London-based software developer, windsurfer & climber

I currently work at Faculty AI, developing Frontier, the world’s first AI operating system.

Formerly at Let's Do This, the world’s leading marketplace for endurance events.

Find me at:

website twitter linkedin facebook instagram stackoverflow

In my spare time (when I'm not out on the water or up a mountain) I enjoy using the latest technologies to build simple, performant and elegant apps|software|tools.

  • Current go-to stack: Astro for static generation, or NextJS for larger webapps, with TailwindCSS utility-styling, hosted on Vercel.
  • Most experienced in: C# for games & enterprise software, Python for machine-learning and AI systems, and React for heavy-duty UIs.
  • Learning: Svelte for charming web-apps, Rust for speedy CLIs & tougher data-crunching.

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  1. Inventory-Optimisation Inventory-Optimisation Public

    Demo for a talk about inventory modelling and strategy optimisation in Python

    HTML 1

  2. augKlimb augKlimb Public

    Interactive Data-led Augmentation of Bouldering Training. Mobile app built using Unity as part of my Masters dissertation. Records, graphs and scores accelerometer data, with optional linking to vi…

    C# 1

  3. nested-json-editor nested-json-editor Public

    A visual editor for nested json objects, written in vue.js

    TypeScript 3

  4. simple_read simple_read Public

    Winning Entry to the CSS 6-hour Accessibility Hackathon: a English-Simplification Chrome Extension. Analyses the "reading age" of web articles, then simplifies the text to a reading age that is on…

    JavaScript 1

  5. sudluko sudluko Public

    A sudoku api, written in Rust, with Rocket.

    Rust 1

  6. music_genre_classification music_genre_classification Public

    Using TensorFlow to compare shallow versus deep neural network architectures for automatic music genre classification. Used to replicate parts of Schindler's paper, for COMSM0018.

    Python