BTech Computer Science student building toward a SOC role — focused on network intrusion detection, threat hunting, and ML-driven anomaly detection. I build security tooling in Python and break things for practice on CTF wargames.
Network Intrusion Detection System that captures live traffic with Scapy, extracts flow features, and classifies malicious activity using a trained scikit-learn model. Designed as a lightweight, explainable alternative to signature-only detection.
Unsupervised anomaly detection on NASA SMAP/MSL satellite telemetry across 82 channels. Benchmarked Isolation Forest, an MLP autoencoder, and a sliding-window autoencoder, with results surfaced in a 3-tab Streamlit dashboard.
OSINT automation tool that streamlines the reconnaissance phase of an assessment — subdomain and asset discovery surfaced through a web dashboard. Picked up and forked by an external contributor.
Machine-learning classifier that flags phishing URLs from lexical and host-based features — a hands-on take on one of the most common initial-access vectors a SOC analyst triages.
Encrypted file-sharing system using AES symmetric encryption to keep files confidential at rest and in transit — a practical exercise in applied cryptography fundamentals.
Open to SOC and Security Analyst roles, internships, and collaboration.