B Tech CSE (DS) Sophomore Student. I work at the edge where data science meets cybersecurity. To me, they are not two separate fields—they are one single craft. I call it Cyber Adversarial Analytics. My focus is on building adaptive systems that map what "normal" looks like, allowing them to catch anomalies before a traditional rulebook ever could. I aim to engineer defenses that look for the patterns and ask the questions most standard dashboards miss. I prioritize real-world utility, think in patterns, and spend my time exploring the less-mapped territories of machine learning security. Outside of tech, I am driven by the same force to focus on patterns—whether I am reading, sketching, or out in nature.
AI-powered Network Intrusion Detection System named after the Egyptian goddess who wove the fabric of reality. Captures live network traffic every 10 seconds via Scapy, computes 28 CICIDS-aligned features per IP, builds a real-time graph of devices and connections, and runs it through a trained GraphSAGE GNN to flag anomalous behavior. Detects attack patterns it has never seen before by learning what normal looks like.
Real-world network traffic classification engine built to catch zero-day and dynamic attacks. Compiled with Adam optimizer and sparse categorical crossentropy loss. Role: Lead Architect — designed, built, and evaluated the full pipeline.
Cyber-physical identity verification system replacing physical documents with a single smart PVC card. Two operational modes — Active Defense (SAFE) and Passive Trap (LOST) — built on a Python Flask backend with dynamic state-changing QR codes.
Live UPI fraud detection utilizing individual behavioral profiling per card — not global averages. Two-tier system: hard rules (Tier 1) + Random Forest with SMOTE balancing (Tier 2). SHAP integration provides plain-English explanations of every flagged transaction.
LAN-deployed IoT threat detection system designed for low-compute hardware — runs locally on a laptop or Raspberry Pi with zero cloud dependency. Honeypots across Telnet, HTTP, MQTT, and SSH protocols. Custom "Blast Radius" scoring assesses network-wide impact rather than isolated per-device CVSS scores.
Hardware-level electronic gate system implementing all fundamental logic circuits. Physical breadboard construction using 7400-series ICs with truth table verification, K-map simplification, and Boolean algebra reduction.
Professional hub built with zero frameworks. Custom particle system via Canvas API. Scroll-reveal using Intersection Observer. Fluid responsive typography with CSS clamp(). Custom cursor, counter animations and typewriter effects.
"Precision in logic.
Ruthlessness in defense."