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Checkout my Website.
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PhD in Electrical and Computer Engineering from the University of Florida (defended Oct. 2026), Machine Learning and Sensing Lab.
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Dissertation: Beyond Band Masking: Decomposition-Guided Self-Supervised Learning for Hyperspectral Images. Self-supervised pretraining of Vision Transformers that masks decomposed spectral components instead of raw bands.
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Recently: benchmarking and routing large language models under cost and latency constraints, as an Applied Scientist Intern at Amazon (2025, 2026).
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Open source: NeonCrops, a multimodal NEON tree-crown dataset and pipeline, built during Google Summer of Code 2025 with NumFOCUS.
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Looking for applied scientist and research scientist roles starting January 2027.
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Focusing
PhD student in Electrical Engineering: Machine Learning and Computer Vision.
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Doctoral student at UF
- Gainesville, Florida
Highlights
- Pro
Pinned Loading
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GatorSense/NeonCrops
GatorSense/NeonCrops PublicMulti-modal per-tree crown crops from NEON AOP imagery.
Python 1
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classifiers_pytorch
classifiers_pytorch PublicThis repository has classifiers designed for different opens source datasets using pytorch.
Jupyter Notebook
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