About me
Reeva Nanda is an AI and ML enthusiast with strong theoretical foundations in generative AI, deep learning, and neural network architectures. Deeply passionate about the mathematics underpinning modern AI , particularly linear algebra and its role in model design, she holds a focused research interest in foundation models and context engineering. Experienced in building and training models hands-on using PyTorch, with additional experience spanning big data analytics, reinforcement learning and computer vision, she is currently at the exciting early stage of an AI research journey, driven by curiosity and a commitment to contributing meaningfully to the evolving landscape of intelligent systems.
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