Matt Barrett
Machine Learning Engineer at Slamcore
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolMatt Barrett is a Machine Learning Engineer based in London with five years' experience building ML systems and production software, currently working at Slamcore after progressing from an intern to an engineer role. He combines a rigorous MSci in Mathematics from the University of Bristol with hands-on experience leading a transpiler team and developing ML frameworks at Unify, showing fluency across algorithmic research and systems engineering. Matt is comfortable bridging research prototypes and deployable tooling, especially in perception and embedded ML contexts implied by his current employer. Colleagues describe him as a pragmatic engineer who leverages mathematical depth to simplify complex model integration and deployment challenges.
5 years of coding experience
3 years of employment as a software developer
MSci, Mathematics, First, MSci, Mathematics, First at University of Bristol
Github Skills (48)
pytorch10
python10
machine-learning10
numpy10
deep-learning10
tensorflow10
gpu10
neural-network10
jax10
ml9
deep-neural-networks9
tensor9
gpu-acceleration9
jit8
autograd8
Programming languages (2)
Github contributions (5)
mattbarrett98/mikit-learn
Oct 2021 - Feb 2022
Coding a variety of classification algorithms from scratch. Algorithms include convolutional neural networks, k nearest neighbours and everything in between. We also show the results from libraries scikit learn and TensorFlow, with our implementations giving similar results in all cases.
Contributions:27 commits, 2 PRs, 26 pushes in 4 months
classification-algorithmconvolutional-neural-networksk-nearest-neighboursscikit-learntensorflow
mattbarrett98/Bradley-Terry-model
Apr 2021 - Jan 2022
Contributions:26 pushes, 1 branch in 8 months
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.