Dana's Projects Showcase

A curated collection of experiments and builds that push machines a little closer to thinking for themselves. The projects span from compact neural tools to larger automation systems, each focused on solving real problems with minimal fluff. Expect models that learn fast, agents that adapt, and pipelines that actually scale instead of collapsing the moment you add real data.

Project 1: Improved Chips for Performance

Developed innovative architectural enhancements to boost processor efficiency, achieving 15% faster clock speeds while reducing power consumption through optimized transistor layout and cache management.

Project 2: ResNet Program

Implemented a Residual Neural Network from scratch to tackle image classification challenges, leveraging skip connections to enable deeper network architectures and overcome vanishing gradient problems.

Project 3: Intuitive Prosthetic Limb AI

Created an intuitive AI system that analyzes muscle micro-movements to predict user intent, enabling seamless prosthetic control with adaptive response algorithms for natural limb extension and improved mobility.

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