Paweł Redzyński
Engineer at Intuition Machines
Poland
Summary
🤩
Rockstar🎓
Top SchoolPaweł Redzyński is an experienced engineer with 11 years building software and ML tooling, currently focused at Intuition Machines after a multi-year stint at Iterative.ai. He brings strong Python and deep learning skills underpinned by a Master’s in graph analysis and practical full-stack/MLOps experience, notably contributing visualization and multi-revision plotting features to the popular DVC project. His work spans backend benchmarking improvements (airspeed‑velocity) to computer vision and AI roles, showing an ability to bridge research-grade models and production workflows. Based in Poland, he combines solid engineering discipline with a knack for improving developer UX in open-source ML infrastructure.
11 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Electrical and Computer Engineering, Bachelor’s Degree, Electrical and Computer Engineering at Warsaw University of TechnologyBachelor’s Degree, Bachelor’s Degree at Kyungpook National UniversityMaster's degree, Master's degree at Polsko-Japońska Wyższa Szkoła Technik Komputerowych w Warszawie
Stackoverflow
382reputation
17kreached
6answers
4questions
Github Skills (32)
data-visualizations10
json10
benchmark10
python10
benchmarking10
data-visualisation10
csv10
data-visualization10
vega-lite10
command-line-interface9
git9
windows9
command-line9
cli9
webui8
Programming languages (9)
Github contributions (5)
iterative/dvc
Sep 2018 - Nov 2022
🦉 Data Versioning and ML Experiments
Role in this project:
Full-stack & MLOps Engineer
Full-stack & MLOps EngineerContributions:499 reviews, 369 commits, 340 PRs in 4 years 2 months
Contributions summary:Paweł contributed to implementing new functionality for visualizing and managing metrics in the form of JSON and CSV files, enhancing DVC's plotting capabilities. The user added support for multi-revision plotting, including interactive visualizations, and addressed issues in data processing and template handling. The work also involved improvements to the command-line interface and integration of image rendering, thereby bridging ML development with operations.
data-version-controlml-modelspythonversion-controldata-science
airspeed-velocity/asv
Jun 2020 - Jun 2021
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 commits, 6 PRs, 9 comments in 1 year
Contributions summary:Paweł contributed to the Airspeed Velocity project by addressing platform-specific CPU information retrieval for Windows systems. They modified the web UI by renaming columns in the regression view. Furthermore, they adjusted the code to correctly interpret the "invert" flag for finding regressions and improvements, improving the accuracy of the difference calculations. These changes demonstrate a focus on improving core functionalities of the benchmarking tool, including its UI and result analysis.
pythonbenchmarkingreportingweb-basedbenchmark
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