Rafał Maj
Senior Software Engineer at SmartRecruiters
Poland
Summary
🤩
Rockstar🎓
Top SchoolRafał Maj is a Senior Software Engineer with about a decade of experience specializing in Java and back-end systems, currently advancing through roles at SmartRecruiters. He is self-taught and deeply committed to continuous learning, having transitioned from chemical and energy engineering into production-grade Java, Spring, and cloud-native stacks. Rafał contributes to high-performance open-source projects—most notably enhancing NVIDIA DALI with new data-processing operators and a numba function operator—reflecting an interest in ML-adjacent performance optimization. His background includes work with Spring Boot, Spring Cloud, Hibernate, PostgreSQL, and testing frameworks, and he brings practical experience across both legacy and modern Java ecosystems. Outside of engineering he pursues cycling and acrobatics, a hint at the discipline and physical precision he brings to complex technical problems.
10 years of coding experience
4 years of employment as a software developer
Magister inżynier (Mgr inż.), Inżynieria chemiczna i procesowa, Magister inżynier (Mgr inż.), Inżynieria chemiczna i procesowa at Politechnika Krakowska im. Tadeusza KościuszkiMagister inżynier (Mgr inż.), Energetyka odnawialne źródła energii, Magister inżynier (Mgr inż.), Energetyka odnawialne źródła energii at Politechnika WrocławskaInżynier (Inż.), Inżynieria chemiczna i procesowa, Inżynier (Inż.), Inżynieria chemiczna i procesowa at Rzeszow University of Technology
Polish, English
Github Skills (14)
machine-learning10
deeplearning-ai10
numba10
deep-learning10
gpu10
python10
data-processing10
numpy9
c-language8
pytorch8
cuda8
cprogramming-language8
tensorflow8
data-augmentation7
Programming languages (2)
Github contributions (5)
NVIDIA/DALI
Mar 2021 - May 2021
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:19 reviews, 9 commits, 24 PRs in 2 months
Contributions summary:Rafał primarily contributed to the development of the `nvidia/dali` library, focusing on enhancing existing functionalities and introducing new operators related to data processing for deep learning. They added a `src_dims` argument to the reshape operator and implemented the new squeeze and expand_dims operators. Furthermore, the user worked on integrating a numba function operator, suggesting a focus on performance optimization and custom function integration within the DALI framework.
pythontrainingpaddlegpu-accelerationbuilding-blocks
majra20/DALI
Mar 2021 - May 2021
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
Contributions:148 pushes, 21 branches in 2 months
pytorchdata-pre-processingpre-processingbuilding-blocksdeep-learning
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