Jordan Peck
Programmer at Hello Games
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolJordan Peck is a programmer with 10 years of professional experience based in the United Kingdom, currently building games technology at Hello Games. He combines low-level, performance-minded back-end work—optimising SIMD implementations and core noise-generation algorithms in FastNoise2—with practical UI and interaction improvements for Dear ImGui node editors. His open-source contributions show a balance of algorithmic rigor (white-noise and fractal noise implementations) and user-experience focus (refined link behavior and interactive title-bar items). Comfortable across C++ and C# codebases, he has a track record of refactoring, cross-repo integrations and pragmatic performance tuning that benefits both tooling and runtime systems.
10 years of coding experience
1 year of employment as a software developer
Southampton Solent University
Github Skills (16)
algorithms10
c-language10
cpp10
imgui10
cprogramming-language10
ui-design10
performance-optimization10
cpp-templates9
html-template9
python-templates9
apptemplates9
code-templates9
cmake9
cross-platform8
platform-independent8
Programming languages (8)
Github contributions (5)
Auburn/FastNoiseLite
Mar 2016 - Nov 2022
Fast Portable Noise Library - C# C++ C Java HLSL GLSL JavaScript Rust Go
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 releases, 1 review, 180 commits in 6 years 8 months
Contributions summary:Jordan primarily focused on adding core functionality to the FastNoiseLite library. Their work involved implementing a "WhiteNoise" generator, including functions for 2D, 3D, and 4D coordinates, as well as integer-based coordinates. They also added a new set of functions for fractal and cubic noises. Their commits suggest adding a variety of noise-generation algorithms. The user also performed code cleanups and optimizations, renaming parts of the code for clarity and performance.
node-graphtilesethierarchicalhlsltexture-generation
Auburn/FastNoise2
Feb 2020 - Nov 2022
Modular node graph based noise generation library using SIMD, C++17 and templates
Role in this project:Back-end Developer
Back-end DeveloperContributions:24 releases, 1 review, 596 commits in 2 years 9 months
Contributions summary:Jordan's contributions focused on refactoring and expanding the FastNoise2 library, moving code between repositories and reorganizing the internal structure. These changes involved adapting the project to different platforms and incorporating SIMD optimization techniques via SSE, AVX, and AVX512 implementations. The user's work involved building, testing and optimising the core noise generation algorithms and node graph design of the C++ library.
node-graphsimdtexture-generationgraph-basedfastnoise
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