Srinivasa Ravi is a compiler optimization engineer at NVIDIA with four years of industry and research experience focused on LLVM, MLIR, NVVM/NVPTX backends and CUDA compiler optimizations. A recent NITK graduate with strong grounding in computer science theory, he moved from summer research on fluid-filled capsule dynamics at IISc to hands-on compiler work at NVIDIA, showing an uncommon blend of applied physics/math research and low-level systems engineering. He has progressed from intern roles into a full-time optimization engineer while leading campus web and AI communities, demonstrating both technical depth and leadership. Based in Mangaluru, he delivers performance-focused compiler solutions for GPU targets and brings a practical curiosity for translating theoretical insights into production-grade code.
4 years of coding experience
Bachelor of Technology - BTech, Bachelor of Technology - BTech at National Institute of Technology Karnataka
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.
Contributions:71 pushes, 28 branches in 2 years 3 months
Contributions:2 PRs, 24 pushes, 4 branches in 4 months
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.