Jatin Bhateja is a Senior Staff Engineer based in Bengaluru with 20+ years of hands-on experience building and optimizing compilers and language runtimes for both software and hardware description languages. He is a long-term open-source contributor and committer to OpenJDK HotSpot and LLVM, with deep expertise in compiler optimizations, instruction selection, scheduling, and microarchitectural tuning for server-class CPUs. Jatin has driven JVM performance work for Intel and now AMD platforms, bringing practical experience tuning runtimes to extract platform-specific throughput and latency gains. His background spans HDL compilers, FPGA synthesis, and parallel simulation, giving him a rare cross-domain perspective on low-level code generation and hardware-aware optimizations. A post-graduate in machine learning and an active open-source evangelist, he blends compiler internals with data-parallel and AI interests to tackle complex systems problems. Notably, his contributions include targeted HotSpot and LLVM backend work that directly improves real-world performance on mainstream CPU targets.
9 years of coding experience
15 years of employment as a software developer
Post Graduate Certificate in Machine Learning and Deep Learning, Post Graduate Certificate in Machine Learning and Deep Learning at International Institute of Information Technology Bangalore
B.Tech Computer Science and Engineering, B.Tech Computer Science and Engineering at Guru Gobind Singh Indraprastha University
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.
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