David Saxton
Member Of Technical Staff at Anthropic
England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolDavid Saxton is a research-driven software engineer with 12 years of experience bridging deep academic training in mathematics (PhD, Cambridge) and production-grade ML systems engineering. He spent a decade at Google DeepMind advancing research-to-product pipelines and models, and now contributes to Anthropic as a Member of Technical Staff focused on cutting-edge AI development. Comfortable moving between theory and implementation, he has a background in postdoctoral research and a track record of shipping complex research code at scale. Based in England, he combines rigorous mathematical instincts with practical software craftsmanship, often translating abstract ideas into robust, deployable systems. A less obvious strength is his sustained commitment to long-term projects, shown by multi-year tenures at top AI labs that balance exploration with delivery.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of Cambridge
Portuguese, English
Github Skills (30)
python10
machine-learning10
mathematical10
libtorch10
gpu10
numpy9
neural-network9
deep-learning9
gpu-acceleration8
science8
autograd8
tensorflow8
acceleration8
tensor8
pure-python7
Programming languages (5)
Github contributions (5)
google-deepmind/mathematics_dataset
Apr 2019 - Nov 2021
This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.
Contributions:1 review, 5 commits, 5 PRs in 2 years 7 months
difficultyanswerpythonquestiondataset
davidsaxton/torch7
Oct 2015 - May 2016
Contributions:15 pushes, 10 branches in 7 months
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