Mathew Salvaris

Manager Of Machine Learning at iRobot

London, England, United Kingdom
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Summary

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Mathew Salvaris is a Manager of Machine Learning based in London with over 15 years of academic and industry experience and a decade of applied ML in product settings. He leads iRobot’s perception modeling team, delivering multitask detection/segmentation models, leveraging NeRFs for realistic 3D environment generation and diffusion models to synthesize diverse training data. Prior roles at Microsoft saw him architect distributed deep learning benchmarks, cloud AI reference architectures, and applied computer vision solutions across industry use cases. His background spans neuroscience and brain–computer interfaces—he devised single-trial EEG decoding methods during his PhD and research roles—bringing a rare combination of rigorous experimental science and production ML engineering. Mathew publishes peer-reviewed work and translates cutting-edge research into robust, deployable robotics perception systems that drive real-world impact.
code9 years of coding experience
job8 years of employment as a software developer
bookMaster of Science (MSc), Computer Science, Distinction, Master of Science (MSc), Computer Science, Distinction at University of Essex
bookBachelor of Science (BSc), Computer Science, 2.1, Bachelor of Science (BSc), Computer Science, 2.1 at Keele University
languagesEnglish, Greek, German
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Github Skills (200)

interpretation10
recommendation-system10
python10
deep-learning10
recommendation-engine10
bokeh10
architecture10
ipywidgets10
ai10
recommender-system10
azure10
rating10
recommender10
kubernetes10
artificial-intelligence10

Programming languages (12)

TypeScriptDockerfileLiquidShellC++MakefileScalaJavaScript

Github contributions (5)

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msalvaris/ksalt

Sep 2018 - Oct 2018

Contributions:192 pushes, 7 branches in 1 month
Benchmarking Horovod and TF on Batch AI
Contributions:224 commits, 6 PRs, 199 pushes in 8 months
benchmarkbenchmarkinghorovodbatch
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Mathew Salvaris - Manager Of Machine Learning at iRobot