Built a full-stack web app that compares monthly savings between a current city and a job-offer city after federal, FICA, state, and local income taxes plus cost of living, including a binary-search solver for break-even salary
Integrated the Nemotron LLM via API to generate a plain-English verdict from computed figures only, with retry/backoff and graceful fallback so the report renders even if the model fails
Cleaned and merged large public datasets (crime, fire incidents, population) using Pandas and NumPy to build data-driven safety metrics that rank regions by risk
Visualized trends with Matplotlib and Seaborn to support neighborhood-level decision-making
Boggle Game Solver | Java
Built a Boggle solver using a trie (DLB) with DFS/backtracking to find all valid words on 2D boards
Optimized runtime with prefix pruning, cutting off search paths that cannot form valid words, and analyzed the time complexity of the recursive search