I build security-focused systems that turn noisy technical data into clear, useful signals. My work spans machine-learning anomaly detection, cyber-threat intelligence, secure application architecture, and structured risk assessment.
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A Raspberry Pi home-network monitor that learns normal device behaviour, detects anomalies, and explains alerts in plain English.
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A scalable, cloud-native evidence and multimedia-sharing platform designed for security professionals.
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A full-stack cyber-threat intelligence platform for tracking dark-web breaches, mapping global attacks, and monitoring compromised assets.
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Co-owned with TFTT44 and currently in active development. More project details will be published when the repository becomes publicly available.
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Open-source Cloud Security Posture Management for Azure—a community-driven alternative to commercial CSPM platforms.
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