Levin Dabhi is a Machine Learning Compiler Engineer with eight years of experience optimizing AI workloads for GPUs and specialized accelerators, currently driving compiler and kernel performance at Qualcomm. He has a proven track record building high-performance deep learning kernels and compiler passes (operator splitting, graph partitioning) at Intel and startups, focused on squeezing maximum throughput and efficiency from hardware. Comfortable with C++, Python, and MLIR-based compiler infrastructure, Levin bridges low-level performance engineering with practical model deployment needs for both training and inference. His background spans R&D for low-power accelerators, computer vision projects (high-res virtual try-on and background removal), and robotics reinforcement learning, giving him a broad systems-and-ML perspective. Based in Cork, Ireland, he publishes work and code on GitHub and maintains a personal site showcasing his applied research and tools for AI hardware acceleration.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Nirma University
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Levin Dabhi - Machine Learning Compiler Engineer at Qualcomm