Suraj Aralihalli
Senior System Software Engineer, Spark RAPIDS at NVIDIA
California, United States
Summary
🤩
Rockstar🎓
Top SchoolSuraj Aralihalli is a senior system software engineer at NVIDIA with eight years of experience building scalable distributed systems, OS kernel features for x86 CPU scheduling and memory management, and high-performance data processing libraries. At Spark RAPIDS he focuses on enabling GPU-accelerated data workflows and has contributed notable improvements to the widely used cuDF GPU DataFrame library—adding CUDA stream controls and Java API enhancements for JSON handling. He combines systems-level kernel work with practical tooling and frameworks for large-scale ETL and Spark optimization, having built analysis tools that parse Spark plans to pinpoint GPU/CPU bottlenecks. A Purdue MS graduate with a strong academic record and early experience in big data pipelines and distributed caching, he blends research-minded rigor with production-grade engineering. Notably, his contributions bridge low-level performance tuning and developer-facing APIs, improving both throughput and usability for GPU data platforms.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 9.53/10, Bachelor of Technology - BTech, Computer Science, 9.53/10 at PES UniversityIntermediate, 97.8%, Intermediate, 97.8% at Andhra Pradesh State BoardCentral Board of Secondary Education (CBSE), 10/10, Central Board of Secondary Education (CBSE), 10/10 at DAVMaster of Science - MS, Computer Science, 3.83, Master of Science - MS, Computer Science, 3.83 at Purdue University
Spanish, English, Kannada, Telugu, Hindi
Github Skills (13)
cuda10
dataframes10
cudf10
c-language10
cprogramming-language10
gpu10
dataframe10
python9
apidoc9
api9
json8
javas8
java8
Programming languages (8)
Github contributions (5)
rapidsai/cudf
Aug 2023 - Oct 2024
cuDF - GPU DataFrame Library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:22 reviews, 15 PRs, 58 comments in 1 year 1 month
Contributions summary:Suraj primarily focused on enhancing the cuDF library, specifically addressing dictionary and list operations. Their contributions included adding stream parameters to multiple public APIs related to dictionaries (encode, decode, add/remove keys, etc.) and lists (sorting, filtering, set operations, etc.) to enable CUDA stream control. Furthermore, the user introduced a new class, `GetJsonObjectOptions`, to the Java API for getJSONObject, including testing for single quotes. These changes aimed at improving performance and functionality within the cuDF framework. The user also worked on fixing aggregation type promotion and other bug fixes.
cudadataframe-librarydata-analysiscppcudf
SurajAralihalli/competitive-coding
May 2021 - Feb 2023
Contributions:340 commits, 349 pushes, 1 branch in 1 year 9 months
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