VukasinĀ Milovanovic
Software Engineer at NVIDIA
California, United States
Summary
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Rockstarš
Top SchoolVukasin Milovanovic is a software engineer with a decade of experience at NVIDIA, specializing in performant C++ and CUDA systems and a strong track record in architecting and delivering complex projects. He combines rigorous academic training (BS/MS in Computer Engineering from the University of Belgrade) with practical expertise tuning GPU-accelerated data processing, notably contributing to the popular rapidsai/cudf project by improving ORC reader/writer performance, compression handling, and decimal type support. Based in California, he focuses on maintainable, efficient code and often tackles subtle data-interpretation and performance bugs that impact large-scale GPU data pipelines. Colleagues rely on him for deep systems knowledge and pragmatic optimizations that make high-throughput analytics run reliably in production.
10 years of coding experience
Bachelor of Science (BS), Computer Engineering and Informatics, 9.85, Bachelor of Science (BS), Computer Engineering and Informatics, 9.85 at University of Belgrade
English, Serbian
Github Skills (10)
compression10
c-language10
cprogramming-language10
data-structure9
decimal9
decimals9
decimal-numbers9
data-structures9
bigdecimal9
cuda8
Programming languages (7)
Github contributions (5)
rapidsai/cudf
Nov 2018 - Jan 2023
cuDF - GPU DataFrame Library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3169 reviews, 1179 commits, 492 PRs in 4 years 2 months
Contributions summary:Vukasin primarily worked on enhancing the ORC file reader and writer, as indicated by the code changes and the repository's focus on a GPU DataFrame library. Their contributions involved resolving compression and performance issues within the ORC writer, and addressing bugs related to data interpretation. Additionally, the user implemented optimizations and added features such as handling decimal types.
cudadataframe-librarydata-analysiscppcudf
vuule/cudf
Dec 2018 - Apr 2025
cuDF - GPU DataFrame Library
Contributions:2124 pushes, 837 branches in 6 years 4 months
cudadataframe-librarycudfgpu-accelerationgpu
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