Prem Gali
Senior Software Engineer - Data Science
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolPrem Gali is a Senior Software Engineer specializing in data science and high-performance GPU ecosystems, with 11 years of experience and a focus at NVIDIA's RAPIDS initiative. He combines backend and DevOps expertise—maintaining CI/CD and documentation pipelines for major open-source projects like cuDF, cuML, cuGraph and RAFT—with hands-on contributions to core GPU data structures and dataframe interoperability (including Dask integration). Based in Austin, Prem is adept at refactoring complex codebases for cross-backend compatibility and performance, from CSV/JSON I/O and datatype fixes to CUDA memory and DeviceBuffer rework. He has a track record of smoothing release engineering pain points (pinning/unpinning dependencies, build script modernization) that keep large ML libraries stable and releasable. A Georgia Tech CS master’s alumnus and former GSoC organization mentor, he balances research-grade rigor with production reliability—often improving developer experience in ways users don’t immediately see.
10 years of coding experience
4 years of employment as a software developer
Coding bootcamp, Coding bootcamp at Mission R&DMaster's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of TechnologyMaharishi Vidya Mandir, HyderabadBachelor of Technology (BTech/BS), Information Technology, Bachelor of Technology (BTech/BS), Information Technology at GITAM Deemed University
Hindi, English, Telugu
Stackoverflow
93reputation
12kreached
0answers
1question
Github Skills (41)
c-language10
python10
back-end-development10
sphinx10
dataframes10
memory-management10
pandas10
categorical-data10
cudf10
cicd10
dataframe10
dask10
gpu10
cython10
cuda10
Programming languages (11)
Github contributions (5)
rapidsai/cudf
Jun 2019 - Jan 2023
cuDF - GPU DataFrame Library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3391 reviews, 2630 commits, 1030 PRs in 3 years 8 months
Contributions summary:The user, GALI PREM SAGAR, primarily contributed to the cuDF GPU DataFrame Library by implementing and refining core functionalities related to data manipulation and I/O operations. Their work involved resolving issues in the DataFrame's `transpose` function, enhancing the CSV reader to support the 'category' data type, and modernizing the JSON reader to handle new structures. They were also involved in fixing core issues around data types like datetime and timedelta in several APIs.
cudadataframe-librarydata-analysiscppcudf
rapidsai/cugraph
Jul 2021 - Dec 2022
cuGraph - RAPIDS Graph Analytics Library
Role in this project:DevOps Engineer
DevOps EngineerContributions:28 reviews, 33 commits, 47 PRs in 1 year 4 months
Contributions summary:Prem primarily focused on maintaining and improving the documentation build process for the cugraph library. This included updating the Sphinx theme, fixing day/night mode issues in the documentation, centralizing common CSS and JavaScript code, deferring loading of JavaScript, and resolving build warnings. Additionally, the user updated the clang version and modified the build process for version updates, ensuring the project's continuous integration and documentation infrastructure remained current and functional.
cudagraph-analysisanalyticsgraph-analyticsgraphml
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.