~/projects $ ls -la
Featured Projects
// PROJECT_001
AI / MLDEPLOYED
Built an AI-powered phishing detection agent that analyses emails, links, and attachments using machine learning to assist SOC analysts in identifying malicious communications. The system integrates with email pipelines to flag suspicious content in real-time.
> scan_results.log
[+]Built end-to-end phishing detection pipeline
[+]Integrated email, link, and attachment analysis
[+]Designed to assist SOC analyst workflows
> dependencies
PythonMachine LearningNLPEmail AnalysisAI Agents
// PROJECT_002
AI / MLDEPLOYED
Developed and optimised lightweight ML models for IoT intrusion detection using feature selection and model compression techniques, achieving high detection accuracy and validating deployment on constrained devices such as Raspberry Pi.
> scan_results.log
[+]Achieved high detection accuracy on IoT intrusion datasets
[+]Successfully deployed lightweight models on Raspberry Pi
[+]Applied feature selection and model compression techniques
> dependencies
PythonTensorFlowScikit-learnRaspberry PiIoTFeature Engineering
// PROJECT_003
AI / MLDEPLOYED
Designed a machine learning-based log monitoring system using Python to detect anomalous activities mapped to MITRE ATT&CK techniques, improving automated security monitoring and alerting.
> scan_results.log
[+]Mapped detections to MITRE ATT&CK techniques
[+]Improved automated security monitoring and alerting
[+]Built end-to-end log anomaly detection pipeline
> dependencies
PythonMachine LearningMITRE ATT&CKLog AnalysisElasticsearch