Abu Shoeb is a Senior Machine Learning Scientist and Ph.D. with nine years of applied AI experience, currently building clinical NLP models and production ML infrastructure in the New York City area. He has deep expertise in fine-tuning transformer models, creating high-quality clinical gold datasets, and deploying scalable solutions on AWS using PyTorch, Hugging Face, and TorchServe. His background spans industrial research at 3M and hands-on systems work at Nokia Bell Labs—where he designed DL job schedulers for heterogeneous GPU clusters—illustrating a rare blend of research rigor and production engineering. He also brings entrepreneurial and product-building experience as the founder of an early campus e-payment system and has taught and published in academic settings, reflecting strong mentorship and communication skills. Behind the technical profile, he pairs a research mindset with pragmatic deployment experience that moves models from prototype to compliant clinical workflows.
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