Optimized e-commerce delivery routes for Chicago using advanced algorithms.
Designed an urban delivery route optimization system using OpenStreetMap data and compared Nearest Neighbor, Quad-Tree, and Floyd–Warshall algorithms for scalability, computational efficiency, and priority-aware delivery. Improved travel distance and runtime performance for multi-depot logistics simulation.
A production-grade Retrieval-Augmented Generation (RAG) chatbot with multi-query retrieval, evidence...
An evidence-based AI system using RAG to generate ATS-optimized resumes from GitHub and research dat...
Time series forecasting of Bitcoin prices comparing multiple neural network architectures including ...