Tomasz Latkowski
Senior AI Specialist at Self-employment
Warsaw, Masovian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolTomasz Latkowski is a Senior AI Specialist based in Warsaw with over 10 years of hands-on experience bridging research and production in ML, DL, CV and NLP. He holds a PhD in Data Mining and has driven advanced AI work at organizations including Samsung and TCL Research Europe, moving models from prototyping to real-world applications. An active open-source contributor, he has contributed style-transfer and paraphrase-generation problems to the widely used Tensor2Tensor library, showing a knack for practical data pipelines and problem design. Known for combining deep academic rigor with pragmatic engineering, Tomasz is adept at diagnosing data generation bugs and refactoring model code to improve robustness and reproducibility.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering at Military University of Technologyexchange student, Information Technology, exchange student, Information Technology at University of Oulu
English, Polish
Github Skills (7)
machine-learning10
nlp10
tensorflow10
python10
deep-learning9
data-generation9
machine-translation8
Programming languages (2)
Github contributions (5)
tensorflow/tensor2tensor
Jun 2018 - Sep 2018
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 9 PRs, 3 comments in 2 months
Contributions summary:Tomasz primarily contributes to the development of style transfer problems within the Tensor2Tensor framework. Their work includes implementing style transfer in text, creating new problems, and fixing data generation bugs. The user also refactors and tests the style transfer functionality. Additionally, they added a paraphrase generation problem using MS COCO dataset.
pytorchautoencoderdeep-learningmachine-translationreinforcement-learning
tlatkowski/neural-recommender
Mar 2018 - Nov 2019
Neural recommender system implementation in TensorFlow.
Contributions:6 commits, 1 PR, 14 pushes in 1 year 8 months
recommendation-algorithmsrecommenderdeep-learningdeep-neural-networkcollaborative-filtering
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