Rafał Bodziony
Machine Learning Engineer at Clearway Labs
Rzeszów, Subcarpathian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolRafał Bodziony is a Machine Learning Engineer with nine years' experience specializing in computer vision and scalable ML deployments across edge and cloud. He combines hands-on deep learning work (TensorFlow, PyTorch, NVIDIA TensorRT, DeepStream) with AWS-first productionization—holding ML Specialty and Developer Associate certifications and practical experience with SageMaker, Lambda, CDK and serverless architectures. Rafał has contributed to open-source ML tooling by implementing and refining the Boruta feature selection in the popular PyCaret library, improving reproducibility and usability for practitioners. His background spans startups, freelance projects on Upwork, and enterprise roles, giving him a pragmatic balance of rapid iteration and robust delivery. Trained in mechatronics and cloud AI applications, he often bridges hardware-aware inference on edge devices with cloud-centric model orchestration. He’s driven by turning large-scale image datasets into actionable products and exploring generative AI integrations with tools like Hugging Face and LangChain.
9 years of coding experience
4 years of employment as a software developer
Engineer's degree Mechatronics Robotics and Automation Engineering, Engineer's degree Mechatronics Robotics and Automation Engineering at Politechnika Rzeszowska im. Ignacego ŁukasiewiczaPostgraduate Degree Applications of Cloud Technology in Data-Based and Artificial Intelligence Solutions, Postgraduate Degree Applications of Cloud Technology in Data-Based and Artificial Intelligence Solutions at Warsaw University of Technology
Polish, English
Github Skills (12)
scikit-learn10
machine-learning10
pycaret10
python10
feature-selection10
scikit10
algorithms9
data-science9
algorithm9
regression8
lightgbm8
classification8
Programming languages (7)
Github contributions (5)
pycaret/pycaret
Aug 2020 - Sep 2020
An open-source, low-code machine learning library in Python
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 5 PRs, 15 comments in 23 days
Contributions summary:Rafał's contributions primarily center around implementing and improving a feature selection algorithm within the Pycaret library. They developed the initial version of the Boruta feature selection algorithm, followed by iterative testing and improvements. Further enhancements included modifying the Boruta algorithm's core logic, incorporating percentile-based thresholds, and fixing potential reproducibility issues. These changes add to the overall functionality and usability of Pycaret.
pythonpycarettime-seriesclassificationdata-science
g0lemXIV/g0lemXIV.github.io
Apr 2018 - Jan 2023
Contributions:16 pushes, 1 branch in 4 years 10 months
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