Mateusz Kobos
Machine Learning Engineer at Tooploox
Warsaw, Masovian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolMateusz Kobos is a Machine Learning Engineer with a PhD and 14 years of experience building data-driven systems and prototypes that bridge research and production. Based in Warsaw, he has led small teams to deliver ML solutions—from depth estimation and multimodal retention models to e-commerce image impact studies and credit-scoring PoCs—using Python, TensorFlow, scikit-learn, BigQuery and an earlier strong background in Hadoop ecosystems. His career spans academia and industry, including PhD research, lecturing, and contributions to R’s caret package where he fixed nuanced preprocessing issues, reflecting both theoretical rigor and practical debugging skills. Comfortable with Java, R and SQL as well as legacy C/C++ code, he combines data engineering know-how with ML model design and promotes technical excellence through internal seminars and cross-team coordination. Notably, he has experience designing large-scale ETL and big-data pipelines and repeatedly takes ownership from requirement gathering to algorithm invention and implementation.
15 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, PhD with honors, Doctor of Philosophy - PhD, Machine Learning, PhD with honors at Systems Research Institute of the Polish Academy of SciencesMSc, Computer Science, MSc, Computer Science at Warsaw University of Technology
Polish, English
Stackoverflow
631reputation
405kreached
4answers
0questions
recursion
top-5%
Github Skills (15)
data-preprocessing10
machine-learning10
statistical-models10
caret10
r10
recursion9
java6
mathematical-optimization6
knitr6
markdown6
exceptions6
math6
numerical6
python6
scientific-computing6
Programming languages (4)
Github contributions (5)
topepo/caret
Jul 2017 - Jul 2017
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
Role in this project:
Data Scientist
Data ScientistContributions:7 commits, 1 PR, 2 comments in 20 days
Contributions summary:Mateusz primarily focused on fixing issues related to the `preProcess` function within the `caret` R package. Their contributions involved correcting how the function handles data transformations, particularly when dealing with single-column transformations. They also merged changes from another contributor, incorporating additional improvements to the package, including changes to performance metrics like MAE and RMSE and addressing issues related to the `null` model testing.
classificationrr-packageregression-models
openaire/vipe
Oct 2015 - Feb 2016
Contributions:41 commits, 20 PRs, 25 pushes in 3 months
pipelinesvisualizingoozieapache
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