An explainable multi-class Android malware detection system built as an M.Tech research project. It combines classical machine learning (XGBoost / Random Forest) with SHAP feature attribution, MITRE ...

A high-performance, rule-based + feature-weighted candidate ranking system that ranks the top 100 candidates from a 100K-candidate pool for a Senior AI Engineer role. Runs in ~27 seconds on CPU with ...