Chris Jones
London, England, United Kingdom
Summary
🤩
RockstarChris Quinn is a London-based Front End (React) developer with 20+ years of front-end experience and 5+ years specialising in React, Next.js and TypeScript. He builds production-grade interactive experiences—currently at WarnerMedia/CNN—and has a long history of agency and freelance work creating immersive Three.js/GSAP sites, rich media banners and advanced UX components. Unusually for a front-end specialist, he contributes to high-profile open-source ML projects (TensorFlow, JAX, XLA), working on backend refactors, compiler bindings and performance-focused changes that inform his approach to front-end optimization. A former agency senior developer and long-time studio owner, he blends creative design sensibility with pragmatic engineering to deliver polished, performant web products.
11 years of coding experience
Github Skills (42)
benchmark10
c-language10
probabilistic-programming10
artificial-intelligence10
python10
back-end-development10
benchmarks10
gpu-programming10
machine-learning10
benchmarking10
flax10
normalization10
tensorflow210
deep-learning10
tensorflow10
Programming languages (6)
Github contributions (5)
openxla/xla
Dec 2019 - Jan 2023
A machine learning compiler for GPUs, CPUs, and ML accelerators
Role in this project:
Back-end Developer
Back-end DeveloperContributions:147 commits in 3 years 2 months
Contributions summary:Chris made several contributions to the XLA compiler's Python bindings, adding methods for hashing computations and testing for constant operations. They added functionality to existing configurations, especially regarding partitioning, by adding a `num_partitions` parameter. They made further improvements to local execution and the GPU backend, including fixing issues with the handling of multi-host environments and also improving memory management. They also enabled CUDA support in the compiler.
compilercommunity-drivenmachine-learningmodular
tensorflow/tensorflow
Oct 2018 - Jan 2023
An Open Source Machine Learning Framework for Everyone
Role in this project:Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:185 commits, 1 comment in 4 years 3 months
Contributions summary:Chris made significant contributions to the XLA:GPU backend, addressing a deadlock issue in the comm init barrier and simplifying gemm rewriter matchers. Their work involved optimizations and bug fixes related to GPU solver contexts, specifically in Cholesky decomposition operations, and they removed unused solver code. They also contributed to the addition of support for cublasLt matmul auxiliary outputs to facilitate the fusion of linear layers with GELU activation.
pythondata-sciencedeep-learningmlmachine-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.