Slava Kovalevskyi
Sr. Engineering Manager at Decentralized HealthCare
Newark, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSlava Kovalevskyi is a senior engineering manager and founder with over a decade of experience building AI, cloud, and ML infrastructure at top-tier companies including Google, Facebook, Cruise, and AWS. He has led creation of foundational Google Cloud AI products (Deep Learning VMs, Containers, Notebooks) and currently optimizes LLM training on GCP accelerators, blending hands-on technical leadership with large-scale program management. As founder of Kovalevskyi Academy and a long-time educator, he pairs product delivery with mentoring and curriculum development in distributed systems and Java. His open-source contributions include governance and documentation work for PyTorch and test infrastructure improvements for scikit-learn, reflecting a commitment to robust ML tooling and community stewardship. He also advises decentralized healthcare initiatives, bringing AI and security expertise to applied domains. With a Ph.D. in NLP, he combines deep research training with pragmatic engineering and organizational building across cloud and ML ecosystems.
13 years of coding experience
13 years of employment as a software developer
MS information security, MS information security at Institute of Information SecurityIgor Sikorsky Kyiv Polytechnic Institute
English, Ukrainian, Russian
Stackoverflow
898reputation
49kreached
28answers
10questions
Github Skills (21)
python10
testing10
scikit10
scikit-learn10
governance10
documentation10
test-automation10
community-management9
google-compute-engine6
google-cloud-ml6
deep-learning6
tensorflow6
mxnet6
jupyterlab6
amazon-web-services6
Programming languages (13)
Github contributions (5)
pytorch/pytorch
Nov 2021 - Sep 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
Technical Writer & Maintainer
Technical Writer & MaintainerContributions:35 reviews, 23 commits, 14 PRs in 10 months
Contributions summary:Slava primarily contributed to the documentation and governance aspects of the PyTorch repository. Their commits focused on updating the `persons_of_interest.rst` file, maintaining and clarifying the roles and responsibilities outlined within the project. They also contributed to the `governance.rst` and the `build_ci_governance.rst` documents, ensuring up-to-date and accurate information related to governance and contributor guidelines.
pythongpu-accelerationdeep-learninggpunumpy
scikit-learn/scikit-learn
Aug 2016 - Sep 2016
scikit-learn: machine learning in Python
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:10 commits, 2 PRs, 19 comments in 19 days
Contributions summary:Slava primarily focused on enhancing the testing infrastructure within the scikit-learn repository. Their commits involved adding new tests to validate the behavior of the `_check_param_grid` method and related functionalities. They refactored and renamed existing test methods while also adding a mock classifier to the test suite. Furthermore, the user modified and refactored test file to provide robust testing.
data-analysispythonstatisticsdata-sciencelearn-machine-learning
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