Boyd Kane

Research Fellowship at MATS Research

Berkeley, California, United States
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Summary

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Senior
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Boyd Kane is an embedded software engineer and research fellow with eight years of experience applying machine learning and control systems to real-world robotics and aerospace problems. Based in Berkeley, he currently develops satellite attitude-control software at CubeSpace ADCS and conducts applied research at MATS Research, blending hands-on embedded development with academic rigor from a rapid nine-month MSc thesis on gesture-based typing. His background includes impactful tooling work at AWS and technical writing contributions to TensorFlow docs, showing a knack for clarifying complex systems and streamlining examples. Comfortable across low-level firmware, control algorithms, and ML pipelines, he prefers hardware- and systems-oriented roles over web stacks and brings a proven ability to take ownership of end-to-end solutions.
code8 years of coding experience
job1 year of employment as a software developer
bookBachelor of Science - BS Computer Science and Mathematical Statistics, Bachelor of Science - BS Computer Science and Mathematical Statistics at University of Cape Town
languagesSpanish
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Stackoverflow

Stats
671reputation
24kreached
8answers
25questions
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Github Skills (14)

tensorflow10
documentation10
machine-learning9
deep-neural-networks7
cors6
rust6
haskell-stack6
iso6
persistence6
sorting6
telegram-bot6
ruby6
haskell6
python5

Programming languages (19)

C#MDXJavaC++CSSRustCD

Github contributions (5)

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tensorflow/docs

Jun 2022 - Jun 2022

TensorFlow documentation
Role in this project:
userTechnical Writer
Contributions:1 review, 2 commits, 1 PR in 1 day
Contributions summary:Boyd primarily contributed to the TensorFlow documentation repository by fixing errors and improving existing content. They corrected dead links and typos within the documentation, and also made changes to the autoencoder tutorial. Their work streamlined the code example in the tutorial and updated code style.
deep-learningmachine-learningdeep-neural-networkstensorflow-tutorialstensorflow
beyarkay/card_game_builder

Dec 2021 - Dec 2022

Got a cardgame idea? This project will convert it to printable PDFs which you can cut out!
Contributions:1 release, 1 review, 71 commits in 1 year
pdfcardgamecutpdfsprintable
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Boyd Kane - Research Fellowship at MATS Research