Built a command-line routing system to optimize last-mile delivery using a hybrid Nearest-Neighbor + 2-Opt algorithm. Designed a custom hash table for efficient package lookups (O(1)) and implemented route logic that respected real-world constraints like staggered truck start times, incorrect addresses, and delivery deadlines. The algorithm delivered all packages by 11:20 AM with just 84 total miles, well under the required 140-mile threshold. Tools & Technologies: Python, Custom Data Structures, Hash Tables, Algorithm Design, CLI, Object-Oriented Programming