Vaibhav Garg is a software engineer with 7 years of experience, currently at Microsoft, who blends competitive programming rigor with practical systems and ML model work. A BITS Pilani computer science graduate, he has deep C/C++ expertise and hands-on experience improving C++ module support and Windows compatibility for major open-source projects like Cling and ROOT. His background spans backend systems, compiler-level fixes, and data-science internships, reflecting comfort across low-level tooling and applied ML. Notably, his contributions to enabling C++ modules on Windows demonstrate both build-system savvy and attention to cross-platform correctness.
7 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
SSC Science, SSC Science at Delhi Public School Eldeco
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Role in this project:
Back-end Developer
Contributions:1 review, 28 commits, 28 PRs in 1 year 5 months
Contributions summary:Vaibhav focused on improving the ROOT project's core functionalities, specifically related to the Cling interpreter and its interaction with C++ modules on Windows. They addressed issues with flag handling, module dependencies, and library paths to enhance the build and execution of code within the ROOT environment. Several commits involved fixing build errors and ensuring the correct inclusion of necessary header files and libraries, especially to support Windows C++ modules. Furthermore, the user corrected the logic for handling dependencies when CXXMODULE is not specified.
Contributions summary:Vaibhav focused on improving Cling's compatibility with Windows, addressing issues related to module loading and execution. They implemented fixes to correctly recognize symbols in COFF object files, which is crucial for using Cling on Windows. Further contributions include modifications to library paths for modules and the creation of necessary module maps. These changes demonstrate a deep understanding of the underlying system and build processes.
cppclangc-plus-plusjupytercling
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