ENGINEERED ARTIFACTS & LABS

Cybersecurity Projects & Tooling

Open-source forensic detection tools, detection engineering pipelines, adversary emulation labs, and security analytics.

Deepfake Detection Research (Forensic Lens)
Security Research & AI

Deepfake Detection Research (Forensic Lens)

Implementation of optical and signal-processing pipelines to extract micro-vascular pulse changes (remote photoplethysmography / rPPG) across facial regions of interest. By identifying inconsistencies in biological pulse frequencies between authentic human faces and synthetic deepfake renders, this pipeline provides high confidence anomaly detection against generative face manipulations.

PythonOpenCVPyTorchSignal ProcessingrPPGBiometrics
Web Application Security Testing
Penetration Testing

Web Application Security Testing

Comprehensive security testing framework and methodology utilizing Burp Suite Pro, Nessus, and manual assessment techniques. Identified and documented high-severity web flaws including SQL Injection, Cross-Site Scripting (XSS), IDOR, and broken access controls with detailed remediation roadmaps.

Burp SuiteOWASP Top 10NessusKali LinuxWeb Security
Network Packet Sniffer
Network Security

Network Packet Sniffer

Engineered a low-level packet capture tool using Python raw sockets and Wireshark dissection techniques. Analyzes IPv4, TCP, UDP, and ICMP headers in real-time, extracts DNS requests, flags abnormal protocol behaviors, and writes telemetry to PCAP formats for forensic examination.

PythonWiresharkRaw SocketsTCP/IPLinux
Office Network Design using Cisco Packet Tracer
Networking

Office Network Design using Cisco Packet Tracer

Designed and tested a segmented corporate office network infrastructure in Cisco Packet Tracer. Configured inter-VLAN routing, dynamic host configuration protocol (DHCP), access control lists (ACLs) for departmental isolation, and redundant gateway topologies for high availability.

Cisco Packet TracerVLANsRouting & SwitchingDHCPACLs
Heart Disease Prediction (Machine Learning)
Machine Learning

Heart Disease Prediction (Machine Learning)

Developed an end-to-end data processing and classification model to estimate heart disease risk. Performed feature engineering on resting blood pressure, cholesterol, and maximum heart rate datasets to train logistic regression and random forest classifiers achieving robust predictive performance.

PythonScikit-LearnPandasNumPyMachine Learning