Ravi Korsa is a director-level compiler and systems engineer with 19+ years of deep expertise in ML compilers, HPC software, and low-level performance optimization across LLVM, TVM, MLIR, GLOW and ROCm ecosystems. He has led compiler backends and software stacks for novel hardware—from Blaize’s graph streaming processors to AMD Instinct GPUs and Marvell/Celestial AI silicon photonics—bridging silicon bring-up to scalable training and inference infrastructure. His hands-on background spans SIMD/x86-64 assembly, OpenCL, image/video codecs (JPEG, MPEG2) and math libraries, enabling measurable performance gains in production and research settings. As an engineering leader he has built and managed compiler teams, shipping full toolchains that scale from single compute units to server arrays. Based in Hyderabad with an IISc MEng, he combines deep standards-level knowledge (C99, IEEE-754, Linux kernel) with practical experience tuning real-world workloads. A less obvious strength is his track record of translating assembly- and kernel-level insights into high-level compiler transformations that unlock hardware-specific performance wins.
6 years of coding experience
19 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Indian Institute of Science (IISc)
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Ravi Korsa - Director - ML Compilers at Marvell Technology