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Built an automatic differentiation engine and neural network library in Python, fully from scratch. Project incorporated reverse-mode AD, computational graphs, SGD/Adam for optimization, tied toget…
Recreated an NLP-based failure classification pipeline inspired by internship work, predicting component failure categories from customer complaint data using machine learning and text analytics.
Full-stack app that captures and organizes thoughts natively, with offline-first architecture (service worker cache + localStorage), a local deterministic organizer that runs without any API depend…
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