As an incoming Data Sciene Masters student at UC Berkeley and majoring in Physics at UC San Diego, I work at the intersection of Physics, Machine Learning, and AI. As an ML Research Assistant in the Duarte Lab, I co-authored a NeurIPS 2025 ML4PS paper on transformer interpretability in particle physics ("Why is Attention Sparse in Particle Transformer"), building and benchmarking novel attention mechanisms in PyTorch and TensorFlow. In industry, I design and deploy production AI systems, like RAG pipelines and end to end ML workflows and AI automations, driving measurable operational and financial impact, while ensuring safety and responsibility in the real world. My work focuses on making systems more efficient, interpretable, and grounded. My main goal and driving passion in life is to make a positive impact on the world around me through curiosity and connection in this universe we all share.
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