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.
9 years of coding experience
8 years of employment as a software developer
Master of Science (MSc), Computer Science, Distinction, Master of Science (MSc), Computer Science, Distinction at University of Essex
Bachelor of Science (BSc), Computer Science, 2.1, Bachelor of Science (BSc), Computer Science, 2.1 at Keele University
Contributions:224 commits, 6 PRs, 199 pushes in 8 months
benchmarkbenchmarkinghorovodbatch
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.
Request Free Trial
Mathew Salvaris - Manager Of Machine Learning at iRobot