WiFi-Radar uses commodity WiFi routers to capture Channel State Information (CSI) data, which contains phase and amplitude information of WiFi signals. By analyzing how these signals reflect off human bodies, our system can detect human presence, estimate poses, and track movements - even through walls.

A comprehensive Python-based machine learning platform for real-time seismic event detection, analysis, and classification. This system integrates with authoritative seismic data sources (USGS and IRIS) to provide intelligent earthquake monitoring and analysis capabilities.

An AI-powered system for analyzing James Webb Space Telescope images to identify artificial structures, Dyson spheres, and objects that don't follow standard gravitational rules - potential indicators of intelligent extraterrestrial life.

Air-gapped, on-prem LLM assistant for software engineering teams. No external network calls. Full audit trail. RBAC + OIDC/LDAP auth.

30 years of NOAA-verified flood data for the Charleston, SC metro — interactive map, risk zones, and location decision analysis.

Interactive multi-region web maps for historical tornado risk analysis — compare candidate locations using 30 years of NOAA/SPC data.

Detect fraudulent job emails targeting US security clearance holders and job seekers.

This project implements a sophisticated flood-fill based anomaly detection system designed for small satellites and deep-space probes. The system can quickly isolate contiguous regions of anomalies on 2D/3D grids representing various spacecraft subsystems (solar arrays, radiators, sensor planes) and trigger containment actions.

This repository demonstrates end-to-end security engineering capabilities: Software assurance (SAST, SCA, DAST) with reports Secure web development and OWASP Top 10 countermeasures Reverse engineering (static/dynamic) of a benign C challenge binary Risk reporting, briefings, knowledge transfer