NNLearner
A custom neural network engine built in pure NumPy. Designed to visualize and execute backpropagation calculus without standard ML libraries.
I bridge the gap between complex algorithms and usable systems. Focusing on ML engines, event-driven architecture, and technical depth.
A custom neural network engine built in pure NumPy. Designed to visualize and execute backpropagation calculus without standard ML libraries.
Event-driven cyber conflict simulator. Models red-team vs. blue-team scenarios across networked infrastructure with O(log N) scheduling.
My background combines Data Science principles with the
architectural discipline of Computer Science.
My skills range from designing UIs that reveal complex concepts,
to building full machine learning models from scratch.