Alexey Morozov
Machine Learning Engineer at Huawei
Eu, Normandy, Ukraine
Summary
🤩
Rockstar🎓
Top SchoolAlexey Morozov is a Machine Learning Engineer and PhD candidate with seven years' experience applying statistical modeling and scalable ML in research and industry, currently at Huawei. He combines deep academic training from MIPT and Kyiv with practical expertise in generalized linear models, differential cross-validation for hyperparameter tuning, and production-focused tooling. Alexey contributes to notable open-source projects—maintaining a well-curated collection of Colab notebooks and improving TensorFlow docs—demonstrating an emphasis on reproducibility and clear technical communication. Based in Normandy and originally from Ukraine, he pairs rigorous research instincts with hands-on engineering, often improving developer experience through documentation and tooling enhancements.
7 years of coding experience
Data science, Data science at Школа анализа данныхПовышение квалификации, Академия риск-менеджмента, Повышение квалификации, Академия риск-менеджмента at Корпоративный университет СбербанкаMaster's degree, Applied Mathematics And Physics, 4.6, Master's degree, Applied Mathematics And Physics, 4.6 at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)Bachelor of Science - BS, Applied Mathematics and Informatics, 4.5, Bachelor of Science - BS, Applied Mathematics and Informatics, 4.5 at Taras Shevchenko National University of Kyiv
Russian, Ukrainian, English
Github Skills (11)
google-colab10
pytorch10
jupyter-notebook10
machine-learning10
deep-learning10
tensorflow10
python10
documentation10
faster-rcnn8
mask-rcnn8
generative-adversarial-network7
Programming languages (5)
Github contributions (5)
amrzv/awesome-colab-notebooks
Dec 2020 - Nov 2022
Collection of google colaboratory notebooks for fast and easy experiments
Role in this project:
ML Engineer
ML EngineerContributions:39 commits, 1 PR, 59 pushes in 1 year 11 months
Contributions summary:Alexey primarily contributes to the project by modifying the `generate_markdown.py` file, which appears to automatically generate a table of contents for a collection of Google Colaboratory notebooks. The commits show the user adding new notebooks, updating the table structure, and adding various links (like Kaggle, Arxiv, etc). Their work focuses on maintaining and expanding the documentation of the notebooks collection. The user also updates dependencies and overall code structure.
pythonjupyter-notebookgoogle-colaboratorytensorflowgoogle-colab-notebooks
tensorflow/docs
Jan 2021 - Mar 2021
TensorFlow documentation
Role in this project:Technical Writer
Technical WriterContributions:3 reviews, 24 commits, 2 PRs in 2 months
Contributions summary:Alexey's commits primarily focused on fixing links and formatting within the TensorFlow documentation repository. These changes include updates to tutorials related to generative models and text processing. The user made corrections to documentation for various TensorFlow tutorials, and also removed unused imports. These changes suggest a focus on improving the readability, accuracy, and overall quality of the documentation.
deep-learningmachine-learningdeep-neural-networkstensorflow-tutorialstensorflow
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