Łukasz Kożuchowski
Software Developer at Flexiana
Warsaw, Masovian Voivodeship, Poland
Summary
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Rockstar🎓
Top SchoolŁukasz Kożuchowski is a software developer with 13 years' experience blending backend engineering, functional programming and applied machine learning from Warsaw. He contributes to the OpenMined differential privacy ecosystem—adding core Python bindings and profiling tooling for PyDP and PySyft—while working professionally on JVM/Python stacks and Clojure-based smart data discovery at Flexiana. Łukasz mentors aspiring developers teaching Python and Django, and has a long freelance background building web apps and NLP solutions. Comfortable across languages and paradigms, he pairs a pragmatic focus on code quality and integration with curiosity for privacy-preserving ML and performance instrumentation.
12 years of coding experience
3 years of employment as a software developer
University of Warsaw
Polish, English, Chinese, German
Stackoverflow
97reputation
157reached
0answers
1question
Github Skills (18)
python10
deeplearning-ai10
deep-learning10
differential-privacy10
federated-learning10
profiling10
cpp10
data-structure9
debug9
algorithm9
debugging9
algorithms9
data-structures9
pytest8
cryptography8
Programming languages (7)
Github contributions (5)
OpenMined/PyDP
Mar 2020 - Mar 2021
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 14 commits, 14 PRs in 11 months
Contributions summary:Łukasz primarily contributed to the development of the Python Differential Privacy Library, focusing on implementing new functionalities and fixing existing issues. Their work involved adding bindings for algorithms like BoundedMean, BoundedSum, BoundedStandardDeviation, and BoundedVariance. They also fixed issues related to docstrings, namespaces, and the build process, demonstrating a focus on code quality and integration.
cpppythonprivacypython-wrapperdifferential-privacy
OpenMined/PySyft
Oct 2018 - Oct 2018
Perform data science on data that remains in someone else's server
Role in this project:Backend Developer
Backend DeveloperContributions:3 reviews, 10 commits, 4 PRs in 5 days
Contributions summary:Łukasz focused on adding profiling capabilities for message sending within the `pysyft` library. Their contributions involved integrating a profiling decorator and creating a log file to track the performance of `send_msg` calls. They updated the logging format and merged in upstream changes. This work aimed to provide insights into the performance characteristics of message passing within the federated learning framework.
pytorchcryptographyacquiringpythonscience
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