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transformer architectures (e.g., ViT/TimeSformer, CLIP/BLIP or similar) in PyTorch, including scalable training on GPUs and reproducible experimentation. Demonstrated experience building explainable models (e.g
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, retrieval augmented generation, and in-context learning ● Advanced Statistical Analysis: Proficiency in advanced statistical techniques and probability theory ● GPU Programming: Experience with GPU
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