Personalized long-horizon Factory Brain
Final Project for ECE695 (Generative Models) at Purdue. Scalable Implementations of:
Reference materials and codes for machine learning. Includes implmentations of privacy and security algorithms.
A process for creating ML workflows for any researcher.
A researcher's second brain (notes with LaTeX, PDF library, projects) whose tools are exposed to browser agents via WebMCP
A WebMCP-powered visual evidence chase for debugging real failures.
Pursuit-Graded Reward: dense per-step RL reward via OMP for reasoning models