Jerin Philip is a software engineer with 15 years’ experience specializing in machine learning model training and low-level performance-tuned inference, bridging high-level Python frameworks (PyTorch, TensorFlow) with C++ optimizations. He has applied this dual-stack expertise across research and industry—from ML research at Edinburgh and Bielefeld University to early-stage systems work at ThirdAI and plugins/LLVM contributions as an independent developer. His recent focus is on compiler infrastructure and accelerator programming (LLVM/MLIR), alongside hands-on experience implementing SIMD-optimized inference on ARM and developing production ML web platforms. Based in Madrid, he favors remote roles and brings a practical blend of research insight, open-source contribution, and production engineering that enables rapid prototyping through to scalable deployments. An under-the-radar strength is his experience shipping cross-language libraries and tooling that lets experiments move quickly from Python to C++ inference paths.
15 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at International Institute of Information Technology Hyderabad (IIITH)
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