Ross Hemsley
Staff Research Engineer at Google DeepMind
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolRoss Hemsley is a Staff Research Engineer at Google DeepMind with 15 years' experience building and shipping research-driven software across autonomous vehicles, computer vision startups, and academic research. He blends deep academic foundations—an MEng in Mathematics and Computer Science and a PhD-era research background in computational geometry and applied probability—with hands-on engineering leadership from roles at Lyft, Blue Vision Labs, and Citymapper. At DeepMind he focuses on turning cutting-edge models into usable systems, and his open-source contributions include improving documentation and examples for Optax, a widely used JAX optimization library, making advanced tooling more accessible to practitioners. Ross is comfortable translating complex algorithms into clear, production-ready code and docs, and has a track record of improving developer experience as well as model performance. Based in London, he brings a pragmatic research mindset to engineering problems, often surfacing subtle usability fixes that accelerate adoption by teams and the wider community.
15 years of coding experience
9 years of employment as a software developer
Master of Engineering (MEng), Mathematics and Computer Science, Master of Engineering (MEng), Mathematics and Computer Science at University of Bristol
French, English
Stackoverflow
596reputation
14kreached
8answers
2questions
Github Skills (14)
documentation10
optimization9
python9
jax9
sphinx9
machine-learning9
voronoi6
algorithm6
srand6
cgal6
delaunay6
geometry6
3d6
graphic6
Programming languages (5)
Github contributions (5)
google-deepmind/optax
Oct 2021 - Dec 2022
Optax is a gradient processing and optimization library for JAX.
Role in this project:
Technical Writer
Technical WriterContributions:3 releases, 8 reviews, 26 commits in 1 year 1 month
Contributions summary:Ross primarily contributed to improving the documentation of the `optax` library. Their commits focused on fixing documentation errors, adding missing API symbols, and updating the quick start guide and examples. The changes include correcting syntax errors, adding code examples, and refining the overall structure and clarity of the documentation. These revisions enhance the accessibility and usability of the library for developers.
deep-learningoptimizationmachine-learningoptaxjax
rosshemsley/interactionviz
Sep 2020 - Nov 2020
Pure Python viewer / renderer and loader for the INTERACTION dataset
Contributions:43 commits, 2 PRs, 24 pushes in 1 month
interactionpythondatasetrendererviewer
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