Nabarun Dev is a Senior Machine Learning Engineer with 11 years of experience building production-grade ML and GenAI systems, currently driving applied R&D for generative features and NLP backends at Apple. With a PhD in Physics and a background as a computational physicist, he brings a strong quantitative rigor from work at CERN—where his models improved signal/background rejection and powered anomaly detection for the CMS experiment—to large-scale industry applications. He has engineered high-performance quantitative and Monte Carlo models in C++ with GPU acceleration at Chatham Financial and translated research prototypes into robust production libraries. Comfortable across Python, C++, TensorFlow/Keras and CUDA, he excels at squeezing ML into resource-constrained environments and shipping scalable backend frameworks. A pragmatic researcher who bridges experimental physics and product-focused ML, he’s as at home optimizing detector-level algorithms as deploying GenAI features across Apple platforms.
11 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at University of Notre Dame
Contributions:81 commits, 75 pushes, 1 branch in 1 year 8 months
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Nabarun Dev - Senior Machine Learning Engineer at Apple