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Understanding CNNs and AlexNet
Notes on convolution, learned feature hierarchies, and why AlexNet mattered to modern computer vision.
Learning in public
Notes, questions, and ideas in progress.
A lightweight record of topics I am studying—not polished conclusions, but evidence of continued curiosity and technical growth.
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AI in robotics debugging
Exploring how code, desired behavior, and robot telemetry can provide useful context to an AI debugging assistant.
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Computational biology and sequence alignment
Studying alignment algorithms and the ways computation can reveal patterns in biological sequences.
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3D geometry and world-modeling papers
Reading notes on representing three-dimensional space and building models that reason about dynamic environments.