Tomasz D. is a skilled Machine Learning Engineer with a background in computer science and applied mathematics. Tomasz D. gained experience as an intern at Google Summer of Code in 2016, where a Haskell prototype for a typed-lua typechecker was implemented. Following this, Tomasz D. worked at QED from 2017 to 2021, focusing on developing segmentation neural networks for detecting building and cropland footprints from satellite imagery, as well as creating an OCR system using CNN classifiers. Currently, Tomasz D. is employed as a Machine Learning Engineer at Meta since 2021. Educational qualifications include a Bachelor and Master degree in Computer Science from AGH University of Science and Technology and a degree in Applied Mathematics from Jagiellonian University.
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