Nicholas Timmons

Graphics Algorithms Technical Team Lead at Huawei

London, England, United Kingdom
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Nicholas Timmons is a Graphics Algorithms Technical Team Lead based in London with 10 years of experience building high-performance, deterministic C++ systems for GPU, AI and compute on mobile and desktop platforms. He blends hands-on algorithm development and driver-level benchmarking with leadership at Huawei, informed by prior roles at AMD, Samsung and Frontier where he shipped rendering systems for complex real-time projects. His Cambridge PhD on approximate computation guides a pragmatic focus on trading precision for performance, and he enjoys applying that research to practical GPU/AI pipelines. Notably, his background spans both low-level pipeline optimisation and applied HCI/robotics prototypes, making him comfortable translating research ideas into production-grade engines and tooling.
code10 years of coding experience
job8 years of employment as a software developer
bookDoctor of Philosophy - PhD Approximate Computation, Doctor of Philosophy - PhD Approximate Computation at University of Cambridge
bookBSc Computer Graphics Science, BSc Computer Graphics Science at Teesside University
languagesEnglish, Chinese
github-logo-circle

Github Skills (90)

deep-learning10
data-science10
flux10
machine-learning10
feed9
julia9
approximate9
notebook9
activation-function9
hardware9
jupyter9
jupyter-notebook9
tensor8
theano8
multidimensional-arrays7

Programming languages (5)

JuliaC#C++Jupyter NotebookPython

Github contributions (5)

github-logo-circle
NTimmons/ImportAll.jl

Nov 2018 - Jan 2020

@importall(package) macro for Julia
Contributions:5 releases, 13 commits, 2 PRs in 1 year 1 month
julia
NTimmons/FastActivations.jl

Dec 2019 - Dec 2020

A collection of activation function approximations for Flux.
Contributions:14 commits, 12 pushes, 1 branch in 1 year
activation-function
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.
Request Free Trial