End‑to‑end simulated EEG signal decoding with feature engineering and transformer models.

Attention-Context-Controllers is a cognitive control layer for AI agents that dynamically prioritizes task, temporal, social, and risk frames, constructing bounded reasoning context to prevent drift, reduce noise, and improve focus.

A Transformer-based next-word prediction model built from scratch using TensorFlow, featuring custom Positional Encoding, Multi-Head Attention, and language modeling evaluation metrics.