Michał Karzyński
Software Architect at Intel Corporation
Gdynia, Pomeranian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolMichał Karzyński is a software architect and technical lead with 13+ years of experience building and shipping ML infrastructure, web platforms and tooling, currently shaping Intel’s Deep Learning Graph Compiler (nGraph) and OpenVINO integrations. He codes across Python, C++, JavaScript, Perl and PHP and has driven CI/CD, packaging and API work that materially improved nGraph’s Python bindings and ONNX interoperability. As co-chair of ONNX’s Operators group he blends hands-on engineering with standards work, and his contributions to high-profile repos like openvino and onnx reflect a focus on robust testing and build reliability. His research interests in Neural Architecture Search, Neuroevolution and GANs inform pragmatic architecture decisions, and he’s open to projects that apply ML for societal and environmental benefit.
13 years of coding experience
14 years of employment as a software developer
International Baccalaureate, International Baccalaureate at III Liceum Ogólnokształcące im. Marynarki Wojennej RP w GdyniMSc, Biotechnology, MSc, Biotechnology at University of Gdansk
English, Polish
Stackoverflow
6,326reputation
404kreached
13answers
11questions
airflow
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Github Skills (44)
api-rest10
python10
apidoc10
api-design10
restful-api10
data-modeling10
machine-learning10
inference10
onnx10
openvino10
cicd10
flask-ask10
api10
sqlalchemy10
tensorflow10
Programming languages (12)
Github contributions (5)
postrational/rest_api_demo
Jun 2016 - Jan 2021
Boilerplate code for a RESTful API based on Flask-RESTPlus
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 16 commits, 6 PRs in 4 years 8 months
Contributions summary:Michał primarily contributed to the development of a RESTful API using Flask-RESTPlus. Their work included setting up SQLAlchemy for database interaction, implementing categories and posts API endpoints, and defining data models and serializers. They also addressed error handling and implemented features, demonstrating a focus on building the core API functionality.
apipythonblueprintboilerplateflask-api
NervanaSystems/ngraph
Mar 2018 - May 2020
nGraph - open source C++ library, compiler and runtime for Deep Learning
Role in this project:Backend Developer & DevOps Engineer
Backend Developer & DevOps EngineerContributions:256 commits, 265 PRs, 697 pushes in 2 years 2 months
Contributions summary:Michał primarily contributed to the ngraph project by modifying build scripts, setting up and enabling CI/CD pipelines using Travis CI, and checking code style. They made significant changes to build_python2_wheel.sh and build_python3_wheel.sh, suggesting work on building and packaging Python wheels. Their commits also involved code style checks using make, indicating an attention to code quality and automated testing.
inference-enginecppc-librarydeep-learningtvm
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