Shaikat Galib is a Senior Data Scientist and Kaggle Grandmaster with nearly a decade of experience designing, training, and deploying large-scale AI systems across computer vision, multimodal and document intelligence, and medical imaging. He has led end-to-end foundation-model initiatives—creating tens of millions–pair datasets, co-authoring multimodal model suites, and building production RAG and vision-language pipelines for healthcare, finance, and enterprise customers. His work spans research and product: from PhD-driven medical imaging methods published in Nature Methods to hands-on production deployments and customer-facing model lifecycle ownership. Based in Austin, he combines deep theoretical grounding in nuclear engineering with practical expertise in benchmarking, automated evaluation, and latency/cost-optimized model architectures—bringing rare domain crossover from radiological challenges to commercial foundation models.
10 years of coding experience
15 years of employment as a software developer
Bachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Islamic University of Technology
Doctor of Philosophy - PhD, Nuclear Engineering, Doctor of Philosophy - PhD, Nuclear Engineering at Missouri University of Science and Technology
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