Shitanshu Bhushan

Recreated LoLCATs and developed a hybrid attention framework integrating Gated Linear Attention and Mamba blocks into Llama 3.2 1B, achieving O(n) inference scaling while maintaining 34.5% accuracy on HellaSwag

Engineered a Flask-based intelligent tutoring system for data structures, implementing cognitive models derived from CTA to deliver adaptive learning paths and personalized feedback using GPT.